AI Action Summit LIVE | AI Summit 2025 | Summit On Artificial Intelligence In Paris, France | Macron

Summary

Highlights

• AI's evolution emphasizes the shift from observation to action, inspired by visions from Alan Turing. 🔄
• Innovations at Stanford demonstrate AI's application in robotics and spatial intelligence. 🤖
• AI is positioned to enhance human capabilities, focusing on dignity, agency, and community. 🧠
• The summit highlighted the need for responsible AI governance to steer its development beneficially. 🛡️
• AI's role in empowering creativity and transformation in sectors like healthcare was showcased. 🏥

Key Takeaways

• AI is transitioning from an observer to an actor, enhancing its role in our world. 🤖
• The summit showcased projects like robotics that use AI for human assistance in daily tasks. 🚀
• The discussions emphasized the importance of human-centered AI that upholds dignity, agency, and community. 🌍
• There's a need for responsible AI governance to maximize its benefits and minimize risks. 📜
• AI's potential extends beyond efficiency to empower creativity, healthcare, and improve quality of life. 💪

Overview

Chapters

• 00:00 - 15:00: Keynote Speech on AI's Transition In the keynote speech titled 'AI's Transition', the speaker highlights a significant shift in artificial intelligence: moving from a passive observer to an active participant. The speech discusses an upcoming inflection point where AI will begin acting alongside humans. Additionally, the speaker reflects on Alan Turing's vision of AI, suggesting that it was too narrow and introspective, implying that the future of AI is broader and outward-facing.
• 15:00 - 30:00: Panel on AI's Role in Various Sectors The chapter entitled 'Panel on AI's Role in Various Sectors' discusses the importance of intelligence not just in terms of thinking but in taking action based on those thoughts. It highlights how human spatial intelligence has been a cornerstone in the development of human civilization, enabling monumental achievements from the construction of ancient pyramids to advancements during the Industrial Revolution and scientific discoveries.
• 30:00 - 45:00: Breakout Sessions and Art Exhibit In the chapter titled 'Breakout Sessions and Art Exhibit,' the discussion centers around the impact of AI on our relationship with the world and artistic expression. It questions how AI might enhance our spatial and embodied intelligence, enabling new creations and discoveries. There is a sense of contemplation on what kind of future is being built with the rapidly evolving technology in this space.
• 45:00 - 60:00: Presentation of Several AI Projects The chapter titled 'Presentation of Several AI Projects' showcases four examples of AI research by students at Stanford and colleagues at World Labs.
• 60:00 - 75:00: Governance and Regulation of AI This chapter explores how generative AI models can create complex content such as videos from text prompts and 3D worlds from images, using the example of translating a painting into a 3D world. It introduces the concept of embodied AI, particularly in robotics, highlighting the swift advancements in the field.
• 75:00 - 90:00: Conversations on AI Policy and Ethics This chapter dives into the recent advancements in robotics, focusing on the integration of robotic learning with large language and vision models. It showcases the progress in enabling robots to execute daily human tasks in natural and less-restricted environments, moving beyond the earlier versions of robots which relied heavily on strict programming and choreography to function.
• 90:00 - 105:00: Final Thoughts and Closing Remarks This chapter discusses the exciting possibilities and potential of AI becoming not just thinking machines but also doing machines. It emphasizes the collective responsibility in guiding this technology, highlighting the urgency and importance of this task. The chapter suggests that the current advancements in AI mark a significant moment with civilizational consequences, prompting a discussion on how humanity should navigate this critical juncture.

AI Action Summit LIVE | AI Summit 2025 | Summit On Artificial Intelligence In Paris, France | Macron Transcription

• 00:00 - 00:30 highlights how profound the difference is from merely observing to acting it illustrates the inflection point I believe were about to be reaching at which AI goes from an observer to an actor alongside Us in fact with respect to my hero Alan Turing I now believe his vision of the future was too narrow and too inward faing
• 00:30 - 01:00 Evolution itself has taught us unequivocally that the real power of intelligence isn't merely to think but to drive action with those thoughts just think about how much humans uh spatial intelligence has empowered us to build our civilization from ancient pyramids to Industrial Revolution from scientific discovery
• 01:00 - 01:30 to artistic expression how will our relationship with the world around us change even further when AI expands our spatial and embodied intelligence What will what will it help and help us to create and discover what kind of future are we already in the process of building well here's a glimpse of the rapidly evolving technology of spatial
• 01:30 - 02:00 intelligence I'm showing you here four examples by my students at Stanford and colleagues at World Labs ranging from the top uh the upper left uh panel is the semantic labeling of complex everyday videos to the upper right panel artistic style transfer to the lower left pel generative AI algorithms
• 02:00 - 02:30 creating videos from text prompts to the lower right panel uh making 3D worlds from any image and that's right you're indeed seeing the Beloved painting by vano of a French cafe brought into an imaginary 3D World by our generative AI models and equally exciting robotics a form of embod AI is also rapidly
• 02:30 - 03:00 advancing these two work from my lab are the latest example of combining robotic learning with large language and vision models allowing robots to perform everyday human tasks in much more open realistic settings compared to the previous generation of robots that were highly programmed and choreographed
• 03:00 - 03:30 these are exciting possibilities but if AI were truly become not only thinking machines but also doing machines our Collective responsibility in shepherding this technology becomes even more urgent and important I don't think it's an exaggeration to say all this has brought us to a moment of civilizational consequences so how are we going to navigate this I think this is also the
• 03:30 - 04:00 purpose of our gathering this week this question has guided my work for years while I'm certain there are no easy answer to be found one theme continuously to run across all my work this is what I call human Center AI which consists of three simple values dignity agency and Community First is dig
• 04:00 - 04:30 in the face of more and more powerful Technologies we as humans are often confronting the question of what defines us stripping away from all the tasks we're able to do the fundamental pride of being who we are making decisions on our own and conducting actions by ourselves is still Central to our very being nothing would excites me more if
• 04:30 - 05:00 this technology can help protect and even return that sense of dignity to all of us especially to the most vulnerable and this is an example how Robotics and AI technology can one day help endow the sense of autonomy to even the most paralyzed patients in this stford project by my cator students a robotic arm is controlled purely by the thoughts
• 05:00 - 05:30 of the person collected non invasively through EEG and the recording of brain waves our AI algorithms are able to decode that person's thoughts and instruction and guide a robotic arm to make a full Japanese Sukiyaki meal second is agency a core tenant of my labs work has been exploring
• 05:30 - 06:00 applications of AI that augments what humans are capable of instead of replacing them jobs will inevitably be impacted by the progress of AI just as every major technological shifts in history has reshaped the labor market insteading AI
• 06:00 - 06:30 help to augment and Empower us from creativity to Health Care from scientific discovery to manufacturing much of AI skill set are complementary to that of humans there's so much opportunity for us to take advantage of this digital or physical collaborator to superpower ourselves my labs work in the past decade in AI healthc care delivery has
• 06:30 - 07:00 shown me many opportunities for AI to help to improve the quality of care and to alleviate the burdens of our health care workers here are three examples of using smart cameras powered by AI algorithm to help hospitals to improve hand hygiene practice by clins to help document patient Mobility exercises to to and to assist surgical instrument
• 07:00 - 07:30 tracking last but not the least is community so much of the last decade has been a story of Technology tearing us apart filter bubbles rage bait and all the likes AI is at another fork in this road with one leading to AI that overshadow real social experiences and personally tailor content that confirms
• 07:30 - 08:00 our biases but on other path leads towards a world in which AI help us to build better bigger and more robust communities such as educational assistance that bring the ability to learn to more and more people kids and grown-ups alike here's just two quick examples on the left us Ai and and VR to support
• 08:00 - 08:30 dyslexic college students as personalized learning tools on the right is an AI expert created by University of Buffalo in the US focusing on augmenting the shortage of speech language Pathologists to to come to early intervention for children Age 3 to 10 with speech and language processing challenges
• 08:30 - 09:00 all these bring me to the last idea I would like to share with you today at this civilizational moment how can we work together to govern AI in a way that preserves the astonishing potential in a rational practical and responsible way for starters it's essential that we govern on the basis of science not science fiction from the main street to
• 09:00 - 09:30 the Wall Street so much of today's AI conversations are colored by sensationalism and hyperbole resulting in misleading policies of AI governance instead we need to apply a much more scientific method in assessing and measuring ai's capability and limitations which can consequentially led to more precise actionable Poli icies grounded in
• 09:30 - 10:00 reality in turn this brings me to the second point of embracing a pragmatic attitude instead of a ideological one when it comes to AI governance AI is poised to be a powerful technology that can help us to live and work better if used well so instead of hindering the Upstream exploration re of the this still very young technology we should
• 10:00 - 10:30 put more focus on its practical applications so that we can ensure its benevolent usage and to guard against harmful outcome finally we need to invest in far more healthier and vibrant AI ecosystem where Academia entrepreneurs um open- Source communities and public sector can can all participate and play their critical
• 10:30 - 11:00 role alongside big companies in driving this technology forward if AI is going to change the world we need everyone from all walks of life to have a role in shaping this change earlier in this talk I spoke about three critical ingredients that brought uh brought us mod data and compute if the bulk of
• 11:00 - 11:30 these resources are concentrated in only a handful of companies the AI ecosystem will suffer from the lack of curiosity driven research top educational talents open source efforts and multidisciplinary Explorations so 75 years ago Alan touring saw a glimpse of the
• 11:30 - 12:00 future and was inspired enough to DARE Humanity to build a thinking machine today we have taken tan stare to a level that he probably could not have imagined the technological advances of the age of AI is breathtaking I believe time has come for a new kind of dare rather than simply asking if we can create AI let's
• 12:00 - 12:30 ask if we can create AI as a force of good in short today I would like to DARE all of us to build a human centered AI thank you thank you so much dear f f thank you let the take picture of that us yeah
• 12:30 - 13:00 I'll be so proud thank you thank you so much for doing this thank you I much appreciate thank you thank you so much de f for addressing us I really liked the fact that you highlighted science not science fiction and I was very impressed by the embodied AI capabilities that you showed us now let me start the continuation of this program I would like to bring to the
• 13:00 - 13:30 stage or to call to the stage both Ena Fred and Nick Thompson who will be hosting this whole event today please Nick Ena please join me welcome wonderful welcome thank you Nicholas Thompson I'll be one of the moderators on stage today we're going to have incredible series of pitches they're awesome we're going to see red teamers we're going to see scientific innovation we're going to see AI used for good lots
• 13:30 - 14:00 of great stuff coming Ena Ena no I don't speak yes um but yeah I mean it's such an important time you know in 25 years of covering Tech in Silicon Valley I've never seen a technology move as fast there's so much potential and there's a lot still to be worked out and not a lot of time to do it so look forward to hearing some of the Innovations all right wonderful and before we start we will uh see the art of Sophia Crespo stay tuned and um see
• 14:00 - 14:30 you soon all right we'll be back shortly there
• 14:30 - 15:00 and I just also would like to um clarify
• 15:00 - 15:30 for everyone that the breakout sessions the main stage the auditorium they're
• 15:30 - 16:00 all starting now so you can either stay here and look at uh the art and then the use cases but you can also make your way to the main stage the auditorium the breakout sessions thank you it's in the m
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• 23:00 - 23:30 welome back everyone I'ma Chief technology correspondent at AIO I'm very excited to share with you some of the presentations that we have on how AI is being used today and I would be remiss we talked about the fact that this is a field that has been going on for a while and we talked about Alan Turing earlier in F's talk uh my good friend the former Chief technology officer of the United States Megan Smith Reminds Me that aah love lace also played a role she was in
• 23:30 - 24:00 the 1800s suggesting that we need a calculus of the brain if you will uh so with that I'm honored that one of the first speakers is one of the women helping lead this um and that is Claudia Gomez mon who leads a project called tech for nature from Mexico [Applause] Claudia constan over here and first what a beautiful stage to talk about such important topics and to be honest AI
• 24:00 - 24:30 should be a tool that helps us all not only drive mere efficiency but Collective purpose we know that AI is transforming every industry but there's particularly one critical area that needs our full attention as an AI ecosystem which is nature conservation and regeneration and this becomes not only an environmental issue it becomes an issue of technological access it becomes
• 24:30 - 25:00 an issue of economy it becomes an issue of fairness it becomes an issue of economic stability and let me tell you a bit more about the region I'm from Latin America and the Caribbean this region is home to more than 40% of the world's biodiversity and this is the same biodiversity that is one that is regulating the climate around the world one that is beinging the pillars of innovation and the pillars of all
• 25:00 - 25:30 Industries however biodiversity is being lost in alarming rates at CES the organization I founded and I lead we believe this is not a problem of solutions it is a problem of imagination it is a problem of interoperability of joining the finance the conservation and the technological worlds to bring purpose in this field and to drive it both ethically and context wise wise for us it has meant to
• 25:30 - 26:00 explore the frontiers of innovation and how to use these tools to redefine paradigms paradigms that are centered in nature paradigms that are centered in an economy that has a new frontier based on balance on equity on Justice specifically we're working with AI systems to understand how to protect better the Jaguars in southern Mexico the peninsula of Yucatan a Mayan indigenous people Rich culture area and
• 26:00 - 26:30 what we're doing is we're developing together with a local community which is mayam based and the local students from local universities two deep learning models that are redefining what is possible for conservation the models do not only allow us to recognize patterns through camera traps with thousands of images coming daily through these iot systems but also Al it helps us to understand
• 26:30 - 27:00 the presence of jaguars and the individual species based on the patterns of The Furs or resets as we know and this is not only a mere topic of understanding the presence of a Jaguar but I don't know if you know but the Jaguars are considered an umbrella species which means that if the Jaguar is healthy the whole ecosystem around the Jaguar where is present is healthy it becomes a proxy for stability and for olical wellness and also the Jaguar has
• 27:00 - 27:30 a rich and profound cultural importance it is a symbol for not only the Mayan indigenous peoples but through a lot of indigenous peoples around Latin America and the Caribbean it is a symbol of power it is a symbol of balance it is a symbol of just Transitions and thus you can understand why we're focusing not only in the biological importance of the Jaguar but in the cultural one as well having Ai and multi- seor collaborations and the
• 27:30 - 28:00 Partnerships with local community as an interface to create a reality that is more nature-based that relies on regeneration and redefines the possibilities of justness and equity and fairness and this project that we're helping Drive in the south of Mexico is having a lot of specific core results that are multi-level one we have developed a tool and a platform that is open to anyone
• 28:00 - 28:30 that is interested in Jaguar conservation throughout any region to be able to use our models and use our tools openly without cost to be able to advance their costs on this conservation second we're joining these efforts with another interoperable system where we're using AI sound pattern recognitions to identify the presence of other species for us it has meant to identify more than 117 species in that area which are endemic and most of them in
• 28:30 - 29:00 endangered species actually some scientists didn't even know that some specific species were present in that area and the data that we're having through these AI driven systems are helping integrate a platform where we can integrally understand the health of the ecosystem third we're driving policy what are we doing exactly this project was a base to create the Statewide policy of the 30x30 conservation Statewide policy on protecting and
• 29:00 - 29:30 conserving 30% of land and sea by 2030 and this is not only important for the policy level but it also serves as a metaphor for Global change through this project and through the data decisionmaking this region and this natural reserve was also registered in the global natural reserves of iucn and lastly it became the footprint the metaphor and the inspiration for the Jaguar Regional bi quarter Alliance
• 29:30 - 30:00 which we have presented at Cup last year together with the interamerican development bank and our partners to be able to scale a philosophy of interoperability and when I see interoperability we're going Beyond data Beyond technology but interoperability of knowledge systems of possibilities and what we're seeing here are two main things the first is that we cannot separate technology and Aid driven systems from the social the
• 30:00 - 30:30 cultural the economic and the systems that embed Injustice they have to go hand inand together with ethical considerations and context wise philosophies and second it has shown and has become a metaphor the Jaguar of the type of economies that we should create economies that yes are led by AI but at its core have a principle of
• 30:30 - 31:00 regenerative Justice like the Jaguar of balance and a transformation based in equity thank you very much so you know one of the things about nature and AI is the intense amount of energy use that's being used for these AI systems how do you reconcile the work that you're doing with AI with the fact that the industry you're a part of uses
• 31:00 - 31:30 so much energy it is a key question to this work and any type of work that uses AI so we believe in green AI what does that mean we have to recognize that we have to walk towards an AI that we mitigate and we reduce energy consumption and at the same time we have to mitigate the ecological footprint for for us we're working with tech providers that are conscious of the energy use and while we transition to that energy efficient systems we're mitigating our
• 31:30 - 32:00 footprint with regenerative ecosystem approaches awesome well I I had the opportunity uh your Project's incredible I also had the opportunity at our AI Summit that axios did in San Francisco I don't know if you're aware the Earth species project they're helping us talk to animals I don't know if Jaguars will be a part of it yes indeed and we're also working with whales so that will we will present that coming up thank you so much castanza Gomez m so our next speaker uh comes to us from
• 32:00 - 32:30 Nepal is working on a project called satellites for Humanity please welcome nion padio hello hello check you're on thank you uh bonjo mid Mish my name is n Bak uh today I'm representing Anar praan Nepal and it's umbrella project satellites for Humanity now first going
• 32:30 - 33:00 back to the project let's give some brief about the organization itself Anar is a nonprofit uh Aerospace company specializing in space especially cubesats ground stations ground station terminals open source and proprietary software systems with AI capabilities and we are also doing uh different research and development projects on uh AI models for onboard system systems and ground stations as
• 33:00 - 33:30 well so now let's uh imagine that you're sipping a cup of tea in a very beautiful mountain range and all of a sudden a wall of water comes down storming sweeping everything around you that's uh Glacier Lake out was flood and because of climate change a lot of those incidents are being frequent in a country like Nepal and Himalayan countries uh incidents like flash floods uh landslides Forest drought and so on
• 33:30 - 34:00 so satellite for humanities aimed to fill the gap between the incident and the response now that response could be post disaster or pre- disaster using some early warning uh systems in place so in 2021 uh in malumi River there was a very big flood so we customed our uh ground station terminals uh with a communication to a cube set in space uh that would provide us data of weather uh from cubat to
• 34:00 - 34:30 ground station of Nas Nepal Academy of Science and Technology we were able to use those data to model some uh early warning system predictive models unfortunately the uh ground station terminal was also Swept Away uh but uh we got the data and we got the learning so that's fine uh after that we went to uh collaboration with katanu Metropolitan city with a objective of
• 34:30 - 35:00 utilizing all the open- source satellite datas uh and uh commercial datas and Commercial uh AI models as well to enhance our systems and provide uh satellite data analytics so under the project satellite data analytics project we delivered them with some flood hazards uh risk hazards and all kind of satellite uh data analytics with AI insights uh from which we were able to
• 35:00 - 35:30 derive the problems pinpoint the problems and provide alternative viable Solutions uh so with that solution in place we were able to create some positive impact among uh 2 million residents of that metro metro City and around 6 million commuters of that place uh to make more our system more robust we are more inclined to AI models uh like AI image classification models
• 35:30 - 36:00 uh image segmentation models and for ground stations for making our early warning system more robust uh we are using predictive models from the data that we are getting from uh different glacial lakes and rivers also the population estimation model uh that we are working on we have been working on for few years now uh actually uses uh satellite data end to endend to provide the estimation of population of a building so the stateof
• 36:00 - 36:30 the art model can provide a grid level population estimation uh while we challenged ourself and uh decreased the special Dimension uh and uh also increased the accuracy by some point we are able to predict the population of a building of KATU Metropol City with accuracy of around 87% till now and we are working on that to make it more general for similar Urban uh geography uh for the model to be open sourced and
• 36:30 - 37:00 used on different places as well along with that we have uh three different satellite projects uh we completed two and uh we are on the verge of uh completion of the third the slippers to sat project now with each iteration of satellite project we have uh enhanced the systems systems Hardware uh communication and specifically the AI models that we have been using using so we started with AI model for image AI
• 37:00 - 37:30 model for image classification and uh we opt for image classification as well as segmentation and uh this third one is more better model than that and we are also testing the feasibility of smaller language model on a on Satellite computer itself it's like imagine having a uh capacity of analysis and a rational thinking in a mini computer mini
• 37:30 - 38:00 satellite it's like having a mini astronaut it's exciting and what's more exciting is uh collaboration with like-minded people and organization like you uh on projects like these and I'm very sure that we will be able to achieve something significant by this year so thank you for the opportunity and uh thank you for uh giving your attention and Mery have a good day thank you good job um so I mean talk
• 38:00 - 38:30 about sort of how how did you end up in this work what brought you to the project personally yeah so in Nepal space technology was a new thing a big thing and a new thing uh so I started uh I fortunately I got a very good Mentor in first place and I was also very excited about space and Technologies from childhood so it clicked and also the narrative that that the organization draws uh about not only being fancy
• 38:30 - 39:00 about this space Tech but also actually solving some real world problems step by step uh initially it looks small but it has a huge impact and uh Believing on those objectives it just motivates to do more to be involved in more projects to complete more of these uh so yeah it's it's like it's exciting the coming projects are exciting the projects that we have done are exciting so yeah and how can people check out your work uh we
• 39:00 - 39:30 have uh websites uh we are in booth number one so you can come and have a chat with us uh and we also have a LinkedIn pre QR somewhere over there all right so if you want to hear more about Nan's project in there in Booth one thank you so much thank you so much thank you uh so we're going to shift a little bit from uh from what we were we're talking about the first couple projects looking at uh things to we're going to also switch languages so uh next up please help me welcome Raman faru from
• 39:30 - 40:00 Gaia and this presentation will be in French thank you very much
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• 47:00 - 47:30 Roman Mery um so I was trying to use Google Translate real quick but I it wasn't keeping Pace what's one thing you hope
• 47:30 - 48:00 that the English speakers will take away the fact that in France we have a um a kind of lab an experience and a feedback from uh 15 years of act Tech and the maturity to see how uh valorize aggregate all the uh environmental data that we have around in the farming uh sector and around the farming sector to create more knowledge uh more uh new strategies uh more to be more helpful
• 48:00 - 48:30 with the data for farmers excent and all over the world we have uh uh in heart to share that experience and to uh launch it uh anywhere uh we can find the same parameters and problematics and eating better being more safe with what we produce is a I think a challenge that we share uh all over the world and there's so much we need to improve our food uh technology especially when you think the
• 48:30 - 49:00 the amount of aable land the amount of land we can grow food on is shrinking our population is growing climate's getting trickier but if we can use technology to spread the knowledge we'll be better off exactly what we think and what we believe in excellent thank you so much R thanks both thanks to all of you uh so thank you so much this is our first session we'll be back around 11: uh so 15 minutes come back and we'll have more presentations and I'll be joined on stage my colleague Nick Thompson from the Atlantic will be
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• 52:30 - 53:00 other path leads towards a world in
• 53:00 - 53:30 which AI help us to build better bigger and more robust communities such as educational assistance that bring the ability to learn to more and more people kids and grown-ups alike here's just two quick examples on the left using Ai and and VR to support dyslexic college students as personalized learning tools on the right
• 53:30 - 54:00 is an AI expert created by University of Buffalo in the US focusing on augmenting the shortage of speech language pathologist to to come to early intervention for children aged 3 to 10 with speech and language processing challenges all these bring me to the last idea I would like to share with you
• 54:00 - 54:30 today at this civilizational moment how can we work together to govern AI in a way that preserves the astonishing potential in a rational practical and responsible way for starters it's essential that we govern on the basis of science not science fiction from the main street to the Wall Street so much of today's AI conversations are colored
• 54:30 - 55:00 by sensationalism and hyperbole resulting in misleading policies of AI governance instead we need to apply a much more scientific method in assessing and measuring ai's capability and limitations which can consequentially led to more precise actionable policies grounded in reality in turn this brings me to the
• 55:00 - 55:30 second point of embracing a pragmatic attitude instead of a ideological one when it comes to AI governance AI is poised to be a powerful technology that can help us to live and work better if used well so instead of hindering the Upstream exploration rearch of this still very young Tech technology we should put more focus on its practical
• 55:30 - 56:00 applications so that we can ensure its benevolent usage and to guard against harmful outcome finally we need to invest in far more healthier and vibrant AI ecosystem where Academia entrepreneurs um open-source communities and public sector can all participate and play their critical role alongside big companies in driving this technology
• 56:00 - 56:30 forward if AI is going to change the world we need everyone from all walks of life to have a role in shaping this change earlier in this talk I spoke about three critical ingredients that brought uh brought us mod data and compute if the bulk of these resources are concentrated in only
• 56:30 - 57:00 a handful of companies the AI ecosystem will suffer from the lack of curiosity driven research top educational talents open source efforts and multidisciplinary Explorations so 75 years ago Alan Turing saw a glimpse of the future and was inspired enough to DARE
• 57:00 - 57:30 Humanity to build a thinking machine today we have taken tan stare to a level that he probably could not have imagined the technological advances of the age of AI is breathtaking I believe time has come for new kind of dare rather than simply asking if we can create a a i let's ask if we can create AI as a force
• 57:30 - 58:00 of good in short today I would like to DARE all of us to build a human centered AI thank you thank you so much dear f f thank you let them take pictur of of us yeah I'll be so proud thank you thank you so much for doing this thank you I much
• 58:00 - 58:30 appreciate thank thank you so much a f for addressing us I really liked the fact that you highlighted science not science fiction and I was very impressed by the embodied AI capabilities that you showed us now let me start the continuation of this program I would like to bring to the stage or to call to the stage both Ena Fred and Nick Thompson who will be hosting this whole
• 58:30 - 59:00 event today please Nick Ena please join me welcome wonderful welcome thank you Nicholas Thompson I'll be one of the moderators on stage today we're going to have incredible series of pitches they're awesome we're going to see red teamers we're going to see scientific innovation we're going to see AI use for good lots of great stuff coming Ena Ena no I don't speak um but yeah I
• 59:00 - 59:30 mean it's such an important time you know in 25 years of covering Tech in Silicon Valley I've never seen a technology move as fast there's so much potential and there's a lot still to be worked out and not a lot of time to do it so look forward to hearing some of the Innovations all right wonderful and before we start we will uh see the AI is starting to create understand reason and interact in in in
• 59:30 - 60:00 tangible 3D spaces whether digital or physical it can be used to interact with people and things and we call this spatial and embod intelligence take a image like this one as an example our visual intelligence make it easy for us to recognize everything that's in it the cat the pot of plant the table and of course that glass of milk but is that really all
• 60:00 - 60:30 perception our perception is giving us I'm willing to bet if some of you look at this picture there's more than a few of you um are just understanding this image but also you're dying to reach out and grab the glass of milk before it shatters over the floor this is a trivial example but it highlights how profound the difference is from merely observing to acting it illustrates the
• 60:30 - 61:00 inflection point I believe were about to be reaching at which AI goes from an observer to an actor alongside Us in fact with respect to my hero Alan Turing I now believe his vision of the future was too narrow and too inward facing ever ution itself has taught us unequivocally that the real power of
• 61:00 - 61:30 intelligence isn't merely to think but to drive action with those thoughts just think about how much humans uh spatial intelligence has empowered us to build our civilization from ancient pyramids to Industrial Revolution from scientific discovery to artistic expression how will our relationship
• 61:30 - 62:00 with the world around us change even further when AI expands our spatial and embodied intelligence What will what will it help and help us to create and discover what kind of future are we already in the process of building well here's a glimpse of the rapidly evolving technology of spatial intelligence I'm showing you here four
• 62:00 - 62:30 examples by my students at Stanford and colleagues at World Labs ranging from the top uh the upper left uh panel is the semantic labeling of complex everyday videos to the upper right panel artistic style transfer to the lower left Handel generative AI algorithm Comm communities such as educational assistance that bring the ability to
• 62:30 - 63:00 learn to more and more people kids and grown-ups alike here's just two quick examples on the left Ai and and VR to support dyslexic college students as personalized learning tools on the right is an AI expert created by University of Buffalo in the US focusing on augmenting the shortage of speech language Pathologists
• 63:00 - 63:30 to to come to early intervention for children aged 3 to 10 with speech and language processing challenges all these bring me to the last idea I would like to share with you today at this civilizational moment how can we work together to govern AI in a way that preserves the astonishing potential in a rational practical and
• 63:30 - 64:00 responsible way for starters it's essential that we govern on the basis of science not science fiction from the main street to the Wall Street so much of today's AI conversations are colored by sensationalism and hyperbole resulting in misleading policies of AI governance instead we need to apply a
• 64:00 - 64:30 much more scientific method in assessing and measuring ai's capability and limitations which can consequentially led to more precise actionable policies grounded in reality in turn this brings me to the second point of embracing a pragmatic attitude instead of a ideological one when it comes to AI governance AI is poised to be a powerful technology that
• 64:30 - 65:00 can help us to live and work better if used well so instead of hindering the Upstream exploration research of this still very young technology we should put more focus on its practical applications so that we can ensure its benevolent usage and to guard against harmful outcome finally we need to invest in far more healthier and vibrant
• 65:00 - 65:30 AI ecosystem where Academia entrepreneurs uh open- Source communities and public sector can all participate and play their critical role alongside big companies in driving this technology forward if AI is going to change the world we need everyone from all walks of life to have a role in
• 65:30 - 66:00 shaping this change earlier in this talk I spoke about three critical ingredients that brought uh brought us modern our data and compute if the bulk of these resources are concentrated in only a handful of companies the AI ecosystem will suffer from the lack of Cur osity driven research top educational talents open source efforts
• 66:00 - 66:30 and multidisiplinary Explorations so 75 years ago Alan Turing saw a glimpse of the future and was inspired enough to DARE Humanity to build a thinking machine today we have taken t there to a level that he probably could not have imagined
• 66:30 - 67:00 the technological advances of the age of AI is breathtaking I believe time has come for new kind of dare rather than simply asking if we can create AI let's ask if we can create AI as a force of good in short today I would like to DARE all of us to build a human centered AI thank
• 67:00 - 67:30 you thank you so much dear f f thank you let them take picture of us yeah I'll be so proud thank you thank you so much for doing this thank you I much appreciate thank you thank you so much de f for addressing us I really liked the fact that you highlighted science
• 67:30 - 68:00 not science fiction and I was very impressed by the embodied AI capabilities that you showed us now let me start the continuation of this program I would like to bring to the stage or to call to the stage both Ena Fred and Nick Thompson who will be hosting this whole event today please Nick Ena please join me welcome wonderful welcome thank
• 68:00 - 68:30 you Nicholas thompsonan I'll be one of the moderators on stage today we're going to have incredible series of pitches they're awesome we're going to see red teamers we're going to see scientific innovation we're going to see AI Ed for good lots of great stuff coming Ena justu Ena no I don't speak speak um but yeah I mean it's such an important time you know in 25 years of covering in Silicon Valley I've never seen a technology move as fast there's so much potential and
• 68:30 - 69:00 there's a lot still to be worked out and not a lot of time to do it so look forward to hearing some of the Innovations all right wonderful and before we start we will uh see the the United States Megan Smith Reminds me that aah love lace also played a role she was in the 1800s suggesting that we need a calculus of the brain if you will uh so with that I'm honored that one of the first speakers is one of the women helping lead this um and that is Claudia Gomez Mont who leads a project called
• 69:00 - 69:30 tech for nature from Mexico [Applause] Claudia constan over here and first what a beautiful stage to talk about such important topics and to be honest AI should be a tool that helps us all not only drive mere efficiency but Collective purpose we know that AI is transforming every industry but there's particularly one
• 69:30 - 70:00 critical area that needs our full attention as an AI ecosystem which is nature conservation and regeneration and this becomes not only an environmental issue it becomes an issue of technological access it becomes an issue of economy it becomes an issue of fairness it becomes an issue of economic stability and let me tell you a bit more about the region I'm from Latin America and the Caribbean this region is
• 70:00 - 70:30 home to more than 40% of the world's biodiversity and this is the same biodiversity that is one that is regulating the climate around the world one that is being the pillars of innovation and the pillars of all Industries however biodiversity is being lost and alarming rates at sees the organization I founded and I lead we believe this is not a problem problem of solutions it is a problem of imagination it is a problem
• 70:30 - 71:00 of interoperability of joining the finance the conservation and the technological worlds to bring purpose in this field and to drive it both ethically and context wise for us it has meant to explore the frontiers of innovation and how to use these tools to redefine paradigms paradigms that are centered in nature paradigms that are centered in an economy that has a new frontier based on balance on equity on Justice
• 71:00 - 71:30 specifically we're working with AI systems to understand how to protect better the Jaguars in southern Mexico the peninsula of Yucatan a Mayan indigenous people Rich culture area and what we're doing is we're developing together with a local community which is mayam based and the local students from local universities two deep learning models that are redefining what is
• 71:30 - 72:00 possible for conservation the models do not only allow us to recognize patterns through camera traps with thousands of images coming daily through these iot systems but also it helps us to understand the presence of jaguars and the individual species based on the patterns of The Furs or resets as we know and this is not only a me near topic of understanding the presence of a Jaguar but I don't know if you know but the Jaguars are considered an umbrella
• 72:00 - 72:30 species which means that if the Jaguar is healthy the whole ecosystem around the Jaguar where is present is healthy it becomes a proxy for stability and for ecological wellness and also the Jaguar has a rich and profound cultural importance it is a symbol for not only the Mayan indigenous peoples but through a lot of indigenous peoples around Latin America and the Caribbean it is a symbol of power it is a symbol of balance it is
• 72:30 - 73:00 a symbol of just Transitions and thus you can understand why we're focusing not only in the biological importance of the Jaguar but in the cultural one as well having Ai and multi- sector collaborations and the Partnerships with local community as an interface to create a reality that is more nature-based that relies iies on regeneration and redefines the possibilities of justness and equity and
• 73:00 - 73:30 fairness and this project that we're helping Drive in the south of Mexico is having a lot of specific Corey salts that are multi-level one we have developed a tool and a platform that is open to anyone that is interested in Jaguar conservation throughout any region to be able to use our models and use our tools openly without cost to be able to advance their costs on on this conservation second we're joining these efforts with another interoperable
• 73:30 - 74:00 system where we're using AI sound pattern recognitions to identify the presence of other species for us it has meant to identify more than 117 species in that area which are endemic and most of them in endangered species actually some scientists didn't even know that some specific species were present in that area and the data that we're having through these AI driven systems are helping integrate a platform where we can integrally understand the health of
• 74:00 - 74:30 the ecosystem third we're driving policy what are we doing exactly this project was a base to create the Statewide policy of the 30x30 conservation Statewide policy on protecting and conserving 30% of land and sea by 2030 and this is not only important for the policy level but it also serves as a metaphor for Global change through this project and through the data decisionmaking this region and this
• 74:30 - 75:00 natural reserve was also registered in the global natural reserves of iucn and lastly it became the footprint the metaphor and the inspiration for the Jaguar Regional biocord Alliance which we have presented at Cup last year together with the interamerican development bank and our partners to be able to scale a philosophy of interoperability and when I see interoperability we're going Beyond data Beyond technology but
• 75:00 - 75:30 interoperability of knowledge systems of possibilities and what we're seeing here are two main things the first is that we cannot separate technology and AI driven systems from the social the cultural the economic and the systems that embed Injustice they have to go hand inand to together with ethical considerations and context wise philosophies and second it has shown and
• 75:30 - 76:00 is become a metaphor the Jaguar of the type of economies that we should create economies that yes are led by AI but at its core have a principle of regenerative Justice like the Jaguar of balance and a transformation based in equity thank you very much
• 76:00 - 76:30 so you know one of the things about nature and AI is the intense amount of energy use that's being used for these AI systems how do you reconcile the work that you're doing with AI with the fact that the industry you're a part of uses so much energy it is a key question to this work and any type of work that uses AI so we believe in green AI what does that mean we have to recognize that that we have to walk towards an AI that we mitigate and we reduce energy
• 76:30 - 77:00 consumption and at the same time we have to mitigate the ecological footprint for for us we're working with tech providers that are conscious of the energy use and while we transition to that energy efficient systems we're mitigating our footprint with regenerative ecosystem approaches awesome well I I had the opportunity uh your Project's incredible I also had the opportunity at our AI Summit that axio did in San Francisco I don't know if you're aware the Earth species project they're helping us talk to animals I don't know if Jaguars will
• 77:00 - 77:30 be a part of it yes indeed and we're also working with Wales so that will we will present that coming up thank you so much castanza Gomez M so our next speaker uh comes to us from Nepal is working on a project called satellites for Humanity please welcome nian badio hello hello check you're on thank
• 77:30 - 78:00 you uh bonjo mid Mish my name is Nan Bak uh today I'm representing Anar praan Nepal and it's umbrella project satellites for Humanity now first going back to the project let's give some brief about the organization itself Anar is a nonprofit uh Aerospace company specializing in space stick especially Cube SATs ground stations ground station
• 78:00 - 78:30 terminals open source and propietary software systems with AI capabilities and we are also doing uh different research and development projects on uh AI models for onboard systems and ground stations as well so now let's uh imagine that you're sipping a cup of tea in a very beautiful mountain range and all of a sudden a wall of water comes down down storming sweeping everything around you that's uh Glacier Lake outward flood and because
• 78:30 - 79:00 of climate change a lot of those incidents are being frequent in a country like Nepal and Himalayan countries uh incidents like flash floods uh landslides forest fire drought and so on so satellite for humanities aim to fill the gap between the incident and the response now that response could be post disaster or disaster using some early warning uh systems in place so in 2021 uh in mumi River there
• 79:00 - 79:30 was a very big flood so we customed our uh ground station terminals uh with a communication to a cubat in space uh that would provide us data of weather uh from cubat to ground station of Nas Nepal Academy of Science and Technology we were able to use those data to model some uh early warning system predictive models unfortunately the uh ground
• 79:30 - 80:00 station terminal was also swep away uh but uh we got the data and we got the learning so that's fine uh after that we went to uh collaboration with KATU Metropolitan city with a objective of utilizing all the open-source satellite datas uh and uh commercial datas and Commercial uh AI models as well to enhance our systems and provide uh satellite data
• 80:00 - 80:30 analytics so under the project satellite data analytics project we delivered them with some flood hazards uh risk hazards and all kind of satellite uh data analytics with AI insights uh from which we were able to derive the problems pinpoint the problems and provide alternative viable Solutions uh so with that solution in place we were able to create some positive impact among uh 2 million residents of that
• 80:30 - 81:00 metro metro City and around 6 million commuters of that place uh to make more our system more robust we are more inclined to AI models like age AI image classification models uh image segmentation models and for ground stations for making our early warning system more robust uh we are using predictive mod models from the data that we are getting from uh different glacial lakes and
• 81:00 - 81:30 rivers also the population estimation model uh that we are working on we have been working on for few years now uh actually uses uh satellite data end to end to provide the estimation of population of a building so the stateof thee art model can provide a great level population estimation uh while we challenged ourself and decreased the special dimension uh and uh also increase the accuracy by some point we are able to predict the
• 81:30 - 82:00 population of a building of katman metropolen city with accuracy of around 87% till now and we are working on that to make it more general for similar Urban uh geography uh for the model to be open sourced and used on different places as well along with that we have uh three different satellite projects uh we completed two and uh we are on the verge of uh completion of the third the slippers to sat project now with each
• 82:00 - 82:30 iteration of satellite project we have uh enhanced the systems systems Hardware uh communication and specifically the AI models that we have been using so we started with AI model for image Aji model for image classification and uh we opt for image classification as well as segmentation and uh this third one is more better model than that and we are also testing the feasibility of smaller
• 82:30 - 83:00 language model on a on Satellite computer itself it's like imagine having a uh capacity of analysis and rational thinking in a mini computer mini satellite it's like having a mini astronaut it's exciting and what's more exciting is uh collaboration with like-minded people and organization like you uh on projects like these and I'm very sure that we will be able to achieve something significant by this
• 83:00 - 83:30 year so thank you for the opportunity and uh thank you for uh giving your attention Mery have a good day thank you good job um so I mean talk about sort of how how did you end up in this work what brought you to the project personally yeah so in Nepal space techn was a new thing a big thing and a new thing uh so I started uh I fortunately I
• 83:30 - 84:00 got a very good Mentor in first place and I was also very excited about space and Technologies from Charwood so it clicked and also the narrative that that the organization draws uh about not only being fancy about this space but also actually solving some real world problems step by step uh initially it looks small but it has a huge impact and uh Believing on those objectives it just motivates to do more to be involved in
• 84:00 - 84:30 more projects to complete more of these uh so yeah it's it's like it's exciting the coming projects are exciting the projects that we have done are exciting so yeah and how can people check out your work uh we have uh websites uh we are in booth number one so you can come and have a chat with us uh and we also have a LinkedIn pre QR some we over there all right so if you want to hear more about Nan's project in there in Booth one thank you so much thank you so much thank
• 84:30 - 85:00 you uh so we're going to shift a little bit from uh from what we were were talking about the first couple projects looking at uh things to we're going to also switch languages so uh next up please help me welcome ran faru from Gaia and this presentation will be in French thank you very much mer
• 85:00 - 85:30 Val
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• 87:30 - 88:00 and human uh uh Prosperity so with that I'm going to turn to my first panelist uh Vice Minister from uh for international affairs from the ministry of internal affairs and Communications of Japan Mr Tako and magawa please good morning thank you a it's
• 88:00 - 88:30 great I'm sorry it's great H it's a great honor to be here and thank you for having me here in the in this uh important session first of all let me talk about recent progresses by the G7 and OCD on the international R governance in last two years Japan contribut contributed to the launch of the hiroshim Maya process under the Japan's G7 presidency in 2023 and developed the international guiding principles and international code of conduct for advanced AI developers with
• 88:30 - 89:00 the G7 member states and the oecd in order to ensure the effectiveness of implementing code of conduct by AI developers we have developed the reporting framework as just already explained and the Italian G7 presidency and launched this this mechanism last Friday before the uh just before the AI ation Summit because the focus of the Sumit action it is very important for the hirosima process to Foster AI developers to move forward and
• 89:00 - 89:30 to put this code of conduct into action we hope that that this reporting framework will promote Innovation while improving transparency and accountability in the development development of generative Ai and we also hope that efforts based on the code of conduct will spread globally we also hope to encourage many AI developers to participate in the reporting framework in addition as the code of conduct is a living document we
• 89:30 - 90:00 would like we' like to appreciate receiving feedback from the participating organizations to promote safe secure and trustworthy AI not only companies but also governments should play should play an important role Japan is in the process of establishing a new leg legislative framework for AI we are trying to strike the right balance between Innovation and risk management and also to ensure consistency with International Frameworks including the hiroshim Maya process our goal Japan one
• 90:00 - 90:30 of the most Innovation friendly countries in the world and our new legislation will serve as one of the successful models for the global Society finally uh Japan will contribute to uh Japan will continue to contribute to International efforts and cooperate with cooperate with the international Society to further Advance the hos process and we also would like to invite more uh companies to participate in this in this reporting framework thank you
• 90:30 - 91:00 thank you Vice Minister it's been a great pleasure to cooperate with Japan under your leadership in the G7 followed by Italy as you say to bring this publicly Let's uh turn now to um some some people closer to the action uh and I'm going to ask uh uh Miss Lisa Soder who is a senior policy re research interface to talk a little bit about your experience um both on the technical
• 91:00 - 91:30 side and on the research side and and what you think the role of voluntary commitments can play in the policy ecosystem wonderful thank you so much and a pleasure to be here today um so yeah I think it's really great to see so much consensus both in industry and government um that we need to take action on AI governance um and we with these voluntary commitments uh we really do have some wonderful tools at our hand um to get some first feedback loops um into to AI governance so to get some
• 91:30 - 92:00 first experience what kind of tools work what um what doesn't um and so this is really great to see um also that the um reporting framework has been launched um last week but I think there's still one area uh where we do need to move faster and take a stronger stance and this is really centering all around this notion of accountability we're talking here about an industry where there are a lot of companies that have this Mantra of let's move fast and
• 92:00 - 92:30 break things um at the very core of their company DNA often um and so I don't think this puts in a really good um starting position to also trust them um to uh keep their promises and not break them um so what we really need for these uh voluntary commitment to be a real success um and to actually use them as this beautiful tool to get some Fair feedback loops and move very fast in in our governance efforts um is to establish accountability mechanisms to give you
• 92:30 - 93:00 like a very quick example maybe from um a lot of the reports that have been updated um this past week um from the companies in terms of how they are complying um with with the frontier safety commitment um that was launched in C um there's a lot of this language in there around um we may decide or we aim to decide to share information with government where we think it might be appropriate if there's risk to Public Safety um and this is obviously not enough um from a citizen perspective
• 93:00 - 93:30 from a government perspective to trust these companies um to do this um and and take action on this alone so going forward I really hope to see uh more work on transparency framework is a really important First Step but we do have to go deeper and not just ask some high level questions but create accountability mechanism compliance checks we need to build our governance capacity and ultimately I do think it's also an important step to think about
• 93:30 - 94:00 how can we put these um commitments also on a legislative footing so I'm seeing here someone from the AI office uh thank you so much for your work on the code of practice please keep up the ambition levels uh also people from the UK AI Bill uh really please use this tool um as as a great starting point where you can build up your governance effort from there um and um keep going forward thank you Lisa so uh you've highlighted well that uh we're sort of at the beginning
• 94:00 - 94:30 of what is going to be a very long journey and uh having spent time many years in the private sector myself I can understand that it might be daunting even for large organizations to look across the landscape and decide what to volunteer for how to report what to tell who and why and so I'm curious since we have um two companies here uh on the panel if you might talk a little bit Peter about um your experience there or your thoughts around the role of these
• 94:30 - 95:00 voluntary Frameworks and how harmonization may or may not help in the context of uh of uh of accountability to Lisa's point and so I with that I'll introduce Peter sarin who's a co-founder in CVP at um AMD Silo AI thanks it's it's an honor to be to be here um I mean I I uh I obviously represent a very practical perspective um from from
• 95:00 - 95:30 many different actually Dimensions uh and and feel sort of less accomplished than many on the panel related to the process through uh say uh soul and Bletchley Park and and and Hiroshima and and so forth um but maybe I can add sort of you know uh some to to what we are actually seeing um and have seen for the past many years uh so um yeah I mean I Silo uh um Europe's largest private AI lab that was eventually acquired by AMD
• 95:30 - 96:00 in the summer um but we've been in the space for for uh quite a few years we were founded end of 2017 um and been been in various different context contributing to models and and and building models uh both uh open source large language models but also a wide range of other models um I mean I I think uh I I think eventually um you know we obviously believe in are are committed to
• 96:00 - 96:30 legislation to uh the regulatory Frameworks and um and also sort of voluntary commitments um um we do we I mean we do at the same time see that there's um quite significant complexity uh by being a practitioner in in in the space um and I think that complexity comes from the fact that there's no one such thing as as AI um I mean there's just so many different perspectives to
• 96:30 - 97:00 what AI is in the real world be it sort of general purpose uh AI models Frontier AI or however you define it or then sort of AI models uh that are embedded into everything from I don't know say uh vacuum cleaners to uh lawn mowers to toothbrushes and you know that is the reality we are seeing in in in the real world um and and eventually that that sort of practitioners are seeing in the in the real world and and I think a lot
• 97:00 - 97:30 of the um say large language models in the real world they aren't necessarily like these GP aai type of models or or uh general purpose AI assistants but they're actually relying on open source and there are hundreds and thousands of them out there for various purposes optimized for that specific purpose um and and open source obviously add sort of qu quite a quite a different dimension to the space as well which I think is sort of already in itself on
• 97:30 - 98:00 its own tackling some of the sort of transparency and accountability Dimensions uh that that we are looking at with these sort of voluntary uh commitments um as well so I I do see sort of voluntary commitments as a way to maybe bridge the gap between sort of um practical implementation and and legislation um and and help us move forward but at the same time I think it is it is adding uh sort of yet
• 98:00 - 98:30 another complexity that practitioners eventually sort of need to spend time with yeah thank you for that um I'm going to turn now to Lisa Soder who's sorry sorry Sarah to Sarah hooker for the who's the VP of research at coher and curious on the research side do these voluntary commitments come across your radar do you think of them um coher has been committing to to to at least the so um the soul safety commitments
• 98:30 - 99:00 and was involved a bit in the Hiroshima AI process as well so please share with with us your perspective yeah well it's lovely to be here I mean I think that so coh is a frontier AI company and so it works on a global first perspective so actually a lot of our Focus it's very refreshing to be at this Summit and to see the focus on global Ai and um multilingual AI that serves a broader range of interests um I lead our research team so my focus is on the Next
• 99:00 - 99:30 Generation models and I think on a personal level being a researcher in AI um frankly uh seeing something which has traditionally being reserved for conferences immediately translate to impact around the world is um at least personally makes safety and thinking about these topics very pressing um I'll share candidly a few observations so we submitted a safety framework this was decided at so um many other Frontier AI companies submitted uh there is a wide
• 99:30 - 100:00 variance so it sounds like uh Lisa you mentioned you've read a few of them uh I would say ours is very centered on like um privacy and security and how do we think about data and multilingual impact there's others that are much more focused on maybe more sci-fi long-term risks everything has to have a portfolio but the first thing I'll say is I wish uh luck for the you know policy makers who have to reconcile this so there's an
• 100:00 - 100:30 interesting aspect to this which is part of having voluntary commitments and I think what is interesting about the oecd hirosima commitments is standardizing some of the questions asked so this is very helpful I think this is a first step but the longevity of this will rest on whether it is possible to reconcile and that it's actually cable at the end of the day and so if this is a nice moment we're all here there's very few rooms in the world that have all of us
• 100:30 - 101:00 at the same time but part of that discussion has to be an acknowledgement that there's a lot of work ahead and whether these are you know whether this is a you know three voluntary commitments a year type of thing or whether it has longevity depends on firstly how do you reconcile these very different perspectives of risk but secondly how is it actionable in the long run so this is a starting point for this conversation thank you Sarah I I think we we fully agree and it's why um I think the Japan
• 101:00 - 101:30 and then Italy had the vision of taking uh principles on a paper and trying to standardize the format because we have experience in other domains of Technology where we have transparency reports on many things out of companies that are not comparable across uh across organizations and certainly not at an international level so agree it's definitely a first step and the code I think itself will have to evolve over time technology advances um but the the objective behind it is also for it to be public transparent and so that it can
• 101:30 - 102:00 inform our research at the oecd but certainly everybody out there so with that I'm going to turn to Professor to talk to us maybe a little bit more um from an from an academic perspective uh and his thoughts on um voluntary commitments uh but also more broadly um The Experience uh in Academia looking at uh AI safety and and AI uh development so professor John mcdermid he was a professor of software engineering at the University of York you have the floor yeah thank you very
• 102:00 - 102:30 much and again I'm very um pleased to be here and I'd actually like to pick up on something Sarah was saying about making things actionable and my colleagues and I in New York have worked on safety of software intensive systems for nearly 40 years the last seven on autonomy and systems using AI um supported by the Law's register foundation so I think there are cases where autonomy is valuable but actually with Frontier AI I think they are best used based on our experience to actually augment human
• 102:30 - 103:00 skills rather than to try to supplant them um governments have a role to play in managing risks and the Hiroshima um process I think is very welcome there I think the critical steps actually lie with the the companies they're the ones who can actually shape the models and and make them safe so from that point of view the frontier ey safety commments I think are very welcome but implementing them making them manageable I think is a real challenge I'd like to talk about some things from the traditional safety
• 103:00 - 103:30 engering world but as adapt to to to software intensive systems they're going to help doing that and the first thing is we have to understand the context of use um and to us given how broad these Foundation models are that means we need to link what we call Upstream safety which is around the frontier models themselves with Downstream safety what happens for an application in particular context of use um to me one of the really critical needs is better measures of risk assessment these ideas of
• 103:30 - 104:00 criticality levels I think are a starting point we need to understand the scale of deployment things that can be deployed on millions or even billions of um uh devices in several hours or days is is a is a huge risk factor that we need to take into account um we need to talk about SLE impact need to understand the ability to remediate harm if something occurs and we can't remediate it once it's happened we must avoid it
• 104:00 - 104:30 if it can be rectified we can take a different attitude to that risk we also need to worry about single points of failure and what happened recently with crowd streak I think is a good example of of that um we need to be able to design for safety and for Assurance and that's something where I think the AI safety world can very much learn from the safety critical systems industry another really critical aspect is being able to diagnose problems if problems arise and we can't work out why they occurred and prevent them occurring
• 104:30 - 105:00 again then actually will lose public trust and on that matter of trust I think the idea of safety cases which we've worked on
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• 107:00 - 107:30 thank you so much dear f f thank
• 107:30 - 108:00 you let them take pictur of of us yeah I'll be so proud thank you thank you so much for doing this thank you I much appreciate thank you so much de f for
• 108:00 - 108:30 addressing us I really liked the fact that you highlighted science not science fiction and I was very impressed by the embodied AI capabilities that you showed us now let me start the continuation of this program I would like to bring to the stage or to call to the stage both Ena freed and Nick Thompson who will be hosting this whole event today please Nick Ena please join me
• 108:30 - 109:00 welcome wonderful welcome thank you Nicholas Thompson journalist American I'll be one of the moderators on stage today we're going to have incredible series of pitches they're awesome we're going to see red teamers we're going to see scientific innovation we're going to see AI use for good lots of great stuff coming Ena J Ena no I don't speak um but yeah I mean it's such an important time you know in 25 years
• 109:00 - 109:30 of covering Tech in Silicon Valley I've never seen a technology move as fast there's so much potential and there's a lot still to be worked out and not a lot of time to do it so look forward to hearing some of the Innovations all right wonderful and before we start we will uh see the the United States Megan Smith Reminds me that aah love lace also played a role she was in the 1800 suggesting that we need a calculus of the brain if you will uh so with that I'm honored that one of the first speakers is one of the women helping
• 109:30 - 110:00 lead this um and that is Claudia Gomez Mont who leads a project called tech for nature from Mexico [Applause] Claudia cona over here and first what a beautiful stage to talk about such important topics and to be honest AI should be a tool that helps us all not only drive mere efficiency but
• 110:00 - 110:30 Collective purpose we know that AI is transforming every industry but there's particularly one critical area that needs our full attention as an AI ecosystem which is nature conservation and regeneration and this becomes not only an environmental issue it becomes an issue of technological access it becomes comes an issue of economy it becomes an issue of fairness it becomes an issue of economic stability and let me tell you a
• 110:30 - 111:00 bit more about the region I'm from Latin America and the Caribbean this region is home to more than 40% of the world's biodiversity and this is the same biodiversity that is one that is regulating the climate around the world one that is being the pillars of innovation and the pillars of all Industries however however biodiversity is being lost in alarming rates at se mines the organization I founded and I lead we believe this is not a problem of
• 111:00 - 111:30 solutions it is a problem of imagination it is a problem of interoperability of joining the finance the conservation and the technological worlds to bring purpose in this field and to drive it both ethically and context wise for us it has meant to explode exp the frontiers of innovation and how to use these tools to redefine paradigms paradigms that are centered in
• 111:30 - 112:00 nature paradigms that are centered in an economy that has a new frontier based on balance on Equity AI is starting to look forward to hearing some of the Innovations all right wonderful the United States Megan Smith Ministry of internal affairs and Communications of Japan Mr Tako imagawa please good morning thank you Audrey it's great honor I'm sorry it's great H it's a great honor to be here and thank you for having me here in the in this uh
• 112:00 - 112:30 important session first of all let me talk about recent progresses by the z7 and OCD on the international governance in last two years Japan contribut contributed to the launch of the hiroshim Maya process under the Japan's G7 presidency in 2023 and developed the international guiding princip for our world where Mach hum where the only Ru is the survival the Fest and where endless expansion means there the replacement of
• 112:30 - 113:00 creativity us hum are capable to challenge artists by RIS know what it means to take risks and cultural diversity must kill creativity and creat kill the human soul what tells us where we come
• 113:00 - 113:30 from the consequences of unregulated AI would be devastating almost everyone knows this so we have no choice but to believe in this right even if the mountain before us this may be our very last chance because dangers of all kinds are multiplying exponentially I believe this F because it is not just a local battle here in France Europe my fellow artists and creators
• 113:30 - 114:00 all over the world sh the same sense ofation my colleagues in Hollywood last and in this kind of struggle it's not always the biggest players win agile by the way including in Tech and all those who left on the
• 114:00 - 114:30 margin of AI development right now reflect already it's very simple we ask for transparency in dat us business or inspect the inner
• 114:30 - 115:00 workings of their algorithm however we have fundamental right to be related fundamental rights Developers guar fair compation and creators how their are
• 115:00 - 115:30 used at what lose win we need a clear framework the rules of we must establish truly the Creator the digital world especially in cases of co-creation between humans and machines the European Union has to work with the which is a very positive and ambitious step
• 115:30 - 116:00 not anding regulatory standards we are all on the same trains and maybe some plans to take a rocket and fly another planet creat prot including not
• 116:00 - 116:30 creat P to protect their work from competitors when a Chinese generative AI emerged didn't we see immediately American Executives out being frud just as artists are of innovation ination be afraid
• 116:30 - 117:00 oful [Applause] without so you've had more time than everyone because we're in France kidding also here
• 117:00 - 117:30 as% a couple of words what has been said previously which is very rich I'm afraid I'm not going to be as as you were we are in a world in which we have all the
• 117:30 - 118:00 time we had a round of negotiations around the neighboring rights ISS I don't know if all of you heard a law adopted in Europe Europe has to abide with and a lot of the new players come to to our say you have a law we're going to look at it we're not going to you one of the main problems we have are using much in our
• 118:00 - 118:30 roomy we have hundreds of people dat analysis data engineering we know that technology is going to help us many ways so we're adopting it as as quick as we can but we are members of societies and um States in which we feel that when there is a law you need you need to play with that
• 118:30 - 119:00 law you need to to follow that law you need to follow that rule I also remember that in in in the United States actually regulation was invented in the United States free market is the friend of Regulation a regulation is the friend of free market there is no free market when there is a monopoly the United States sort of invented competition law they had to dismantle monopolies in order to create more value so I'm always surprised that the new players arrive and tend to forget about all of this
• 119:00 - 119:30 because they're telling you it's a Brave New World we're going to make this world a better place to be you know it's like a huge promise very generous very general very you know vague in many ways actually it makes the world a better place for some of them but not for everybody I don't know if the new companies created in the recent years have created a better world you know meta for instance is like uh the Agora of the world 2.5 billion people are in meta and it's completely or vastly unregulated now
• 119:30 - 120:00 it's going to be moderated by the crowd have you ever heard of a crowd moderating things it's like an oxymoron I mean 200 years ago but meta wasn't there but the Greeks invented those words you know there is something called culture and culture and was was mentioning it really well it relies on individuals it relies on creativity it relies on the protection of the rights of those people when someone creates a new work of art when someone it has to be protected this is also part of our culture it's also part of of what I was
• 120:00 - 120:30 actually a friend of mine in the room asked chat GPT not to name it a couple of minutes ago this question in French but I'm going to translate it when plundering a country's culture can it lead to the country's dis disappearance desperation and chat answers when a civilization is under massive plundering it is a part of its memory and its identity well that's a good answer you know that's that's the right answer for what it's not hallucinating it's really giving the right answer so we're
• 120:30 - 121:00 fighting for that we represent hundreds of journalists who try to You Know cover the transformation of the world but also produce news every day produce new contents which deserve a protection we feel that we have been harvested you know by by by large organizations harvesting our contents scraping is the technical World um two years ago I think we started to put uh statements in place opt out statements saying okay we know
• 121:00 - 121:30 we know you're harvesting us but you know now we know it we didn't know it before and now we sort of tell you we refuse it and we need to have a protection and we need to have a remuneration the new system now and I'm sorry to be so long but the new system now is that you find out that certain companies sell subscriptions so it it is exactly this situation in which you harvest someone else's field and you sell what you've harvested to others it has a name you know it has a name in in in our civilizations in our law so it is
• 121:30 - 122:00 like stealing it's taking away and the exception you know this exception of making the world better because it helps uh research it's it's not going to stand very long and and it was mentioned also previously whenever one of those companies is under competition from another they they say hey we have IP rights you know we we you can't take away from us what they've taken away from the others you know that's when it becomes a topic for them and this is ridiculous in many ways so I think that
• 122:00 - 122:30 basically we are experiencing one of those incredible moments which we have experienced when you you know you're my age at least once before with the birth of the internet uh you know every every evidence is is not there anymore you feel it's it's a fantastic World fantastic things will happen the investors are super excited I understand them there is value to be created but it will not be created if you trample to the ground you know all the pillars of the laws that have been established property cannot be trample creativity cannot disappear it needs to be
• 122:30 - 123:00 protected thank [Applause] you um so but I I do understand and I think that you share some of the same concerns as Nabil aush but could you also explain to us um you know what did like when you had negotiations with the uh open a in the US what exactly happened what are you asking and how are you uh working on that now so yeah about a year ago I was in this in New York with a group of um European Publishers
• 123:00 - 123:30 from Germany from Spain from different countries and uh so we spoke to open AI actually several a few weeks after that open a I signed deals with one publisher per country in Europe it's like you know cherry picking and saying Leon signed with them in France El you know how much Lon received no it's not uh completely transparent it's not transparent but actually I can understand why it wouldn't be transparent because there is something called you know um business
• 123:30 - 124:00 law so you're not supposed to publish everything but at least what I want to underline is that they they said we cannot speak to all of you guys uh we're we're too young we haven't enough lawyers actually we're not organized and it was possibly may be true to some extent you know it's true those companies are relatively young even if they're backed up by Giants you know so they're not completely alone in the world but they said it's it's too early but then they signed and the Very fact that they signed is good news you know they signed with uh some companies but
• 124:00 - 124:30 it shows that they recognize the value otherwise they wouldn't sign wouldn't pay yeah but they sign with one Outlet as you mentioned and you came with I think 40 Outlets when you went to negotiate do you think that might might be uh some an issue I was trying to be positive for one second I'm sorry so okay so so it's not good yeah you have your answer no no but it's good that they sign at least with one company that they recognize if you sign with one eventually you will probably sign with all I have this feeling that what we
• 124:30 - 125:00 produce in the newsrooms it's like you know the KV of the rags the rags they add value to a to an artificial intelligence llm they add value because it's a limited Corpus that it works on and we produce those facts that are verified double check triple check it adds value so I know I hate I think that event they will come to the to the table and negotiate and sign but it's very slow and again it reminds me of the neighboring rights issue first stage is
• 125:00 - 125:30 you don't recognize the law then you say how can we find an agreement it takes your and now we have a very good deal with Google which has been renewed recently in France for for the alliance of press that I represent uh we have a disappearing deal with meta because meta is not going to be in the news business anymore we have no deal with LinkedIn after three or four years of trying to have a deal so various situations but again one question mark how can you possibly pretend to make the world a
• 125:30 - 126:00 better place and trample to the ground the pillars of the law how can you do that to me it makes no sense so it will not last on forever and as we all know Empires do not last on forever they all disappear at one point and and why do you think it's important for you to have this Collective approach well it's important because we are very fragmented we are you know uh I represent large newspapers like Lon large ones from the regional press but sometimes very small newspapers that don't even have one lawyer actually so so the union of
• 126:00 - 126:30 Publishers represent them and it's important because we are always small when it comes to to money involved I used to be the CEO of aan France press some years ago and I did actually the first lawsuit against Google in order for our news to be to be remunerated and we won that lawsuit we we got paid for that but I always had one lawyer and they had 10 you know that's the kind of disproportion that that you run into because um the amounts of monies that have been raised risen by by by those
• 126:30 - 127:00 companies are huge uh they raise billions of dollars or or Euros sometimes to to create future and again I said it in introduction and I really want to underline it now I'm a keen believer of progress I I work for that I use and I and I like technology very much but again it it doesn't come at the price of you know not respecting basic rights of creators of artists and of Publishers and the EU has actually a Pioneer uh back in 2018 um it was
• 127:00 - 127:30 heavily criticized for enforcing the toughest security and privacy law which we know as a general data protection regulation but now even in the US there are at least five states who feature some kind of consumer privacy laws so do you think the same could happen in regulating AI today well say to try to be to be complete I would I would really love EU to be recognized for the quality of its Ai and and it is in many ways France for instance is and president
• 127:30 - 128:00 mcon mentioned it is a huge country when it comes to engineers and but we do export a lot of them but we try to keep some of them here so so first of all let's be recognized for our technology that that's a good idea for the future and then yes let's be recognized for our respect of the traditions of law you know 200 years ago B Mar others created this intellectual property uh IP rights it was a good idea and it still is good ideas have a lot of future and it's the same with the property rights yes and um you know Jane did you
• 128:00 - 128:30 want to react to what we just heard no okay well thank you so much everyone and have a great afternoon thank you fantastic what an excellent conversation that truly stretches the mind we talked about the difference between low quality data and high quality data and the effect that that has on us as users we also talked about The Balancing Act that media houses data Publishers and information providers need to make in collaborating with AI models a lot of
• 128:30 - 129:00 this will be discussed throughout the day we'd like to invite all of you to make your way towards the auditorium as well as the workshop areas where there'll be conversations on safe and trustworthy ai ai in health and science as well as AI governance and a lot more we'll be reconvening in this very Very Room at 1 p.m. exactly with privacy cyber security and information
• 129:00 - 129:30 [Music] integrity e
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• 131:00 - 131:30 [Music] labeling of complex everyday videos to the upper right panel artistic style transfer to the lower panel generative AI prompts to the lower right panel
• 131:30 - 132:00 making 3D worlds from any image and that's right you're indeed seeing the Beloved painting by Beno of a French cafe brought into an imaginary 3D World by our generative AI models and equally exciting robotic a form of embod AI is also rapidly offensive these two work from my lab are the latest example of combining robotic
• 132:00 - 132:30 learning with large language and vision models allowing robots to perform everyday human tasks in much more open realistic settings compared to the previous generation of robots that were highly programmed as choreographed these are exciting possibilities but if AI were truly become not only thinking machines but
• 132:30 - 133:00 also doing machines our Collective responsibility in sheering this technology becomes even more urgent and important I don't think it's an exaggeration to say all this has brought us to a moment of civilizational consequences so how are we going to navigate this I think this is also the purpose of our gathering this week this question has guided my work for years
• 133:00 - 133:30 while I'm certain there are no easy answer to be found one thing continuously to run across all my work this is what I call human Center AI which consists of three simple values dignity agency and and Community First is dignity in the face of more and more powerful Technologies we as humans are often confronting the
• 133:30 - 134:00 question of what defines us stripping away from all the tasks we're able to do the fundamental pride of being who we are making decisions on our own and the conducting actions by ourselves is still Central to our very being nothing would excit me more if this technology can help protect and even return that sense of dignity to all of
• 134:00 - 134:30 us especially to the most vulnerable and this is an example of how Robotics and AI technology can one day help endow the sense of autonomy to even the most paralyzed patients in this ster project by my a robotic arm is controlled purely by the thoughts of the person collected noninvasively through EEG and the
• 134:30 - 135:00 recording of brain waves our AI algorithms are able to decode that person's thoughts and instruction and guide a robotic arm to make a full Japanese Sukiyaki meal second is agency a core tenant of my lab's work has been exploring applications of AI that augments what humans are capable of
• 135:00 - 135:30 instead of replacing them jobs will inevitably be impacted by the progress of AI just as every major technological shift in history has reshaped the labor market it's [Music] augment and Empower us from creativity to healthcare from scientific discovery
• 135:30 - 136:00 to manufacturing much of the AI skill set are complimentary to that of humans there's so much opportunity for us to take advantage of this digital or physical collaborator to superpower ourselves my labs work in the p decade a AI healthc care delivery has shown me many opportunities for AI to help to improve the quality of care and to
• 136:00 - 136:30 alleviate the burdens of our health care workers here are three examples of using smart cameras powered by AI algorithm to help hospitals to improve hand hygiene practice by clinicians to help document patient Mobility exercises to and to assist surgical instrument tracking last but not the least is
• 136:30 - 137:00 community so much of the last decade has been a story of Technology tearing us apart filter bubbles rage bait and all the likes AI is at another port in this road with one leading to AI that overshadow real social experiences and personally tailor content that confirms our biases but on the other PA leads towards a world in which AI help us to
• 137:00 - 137:30 build better bigger and more robust communities such as educational assistance that bring the ability to learn to more and more people kids and BN UPS alike here's just two quick examples on the left Pi the Ai and and VR to support dyslexic college students as personalized learning tools on the right is an AI
• 137:30 - 138:00 expert created by University of Buffalo in the US focusing on augmenting the shortage of speech language Pathologists to to come to early intervention for children's aged 3 to 10 with speech and language processing challenges all these bring me to the last idea I would like to share with you today at this civilizational moment how
• 138:00 - 138:30 can we work together to govern AI in a way that preserves the astonishing potential in a rational practical and responsible way for starters it's essential that we govern on the basis of science CCI fiction from the main street to the Wall Street so much of today's AI conversations are colored by
• 138:30 - 139:00 sensationalism and hyperbole resulting in misleading policies of AI governance instead we need to apply a much more scientific method in assessing and measuring ai's capability and limitations which can consequentially led to more precise actionable policies grounded in reality in turn this brings me to the second point of embracing a pragmatic
• 139:00 - 139:30 attitude instead of an ideological one when it comes to AI governance AI is poed to be a powerful technology that can help us to live and work better if used well so instead of hindering the Upstream vage of this still very young technology we should put more focus on this practical applications so that we can
• 139:30 - 140:00 ensure its benevolent usage and to guard against harmful outcome finally we need to invest in far more healthier and vibrant AI ecosystem where Academia entrepreneurs um open source communities and public sector can all participate and play their critical role alongside big compies in driving this technology
• 140:00 - 140:30 forward if AI is going to change the world we need everyone from all walks of life to have a road in shaping this change earlier in this talk I spoke about three critical ingredients that brought uh brought us mod it and compete if the both of these resources are concentrated in only a handful of companies the AI ecosystem
• 140:30 - 141:00 will suffer from the lack of curiosity driven research top educational talents open source efforts and multidisciplinary Explorations so 75 years ago Alan Turing saw a glimpse of the future and was inspired enough to DARE Humanity
• 141:00 - 141:30 to build a thinking machine today we have taken T there to a level that you probably could not have imagined the technological evenses of the E of AI is breath I believe time has for new kind of day rather than simply asking if we can create AI let's ask if we can create AI as a force of good in short today I
• 141:30 - 142:00 would like to DARE all of us to build a human Center AI thank [Music] you thank you so much your fath thank you let them take pictures of of us yeah I'll be so proud thank you thank you so much for doing this thank you I much
• 142:00 - 142:30 appreciate thank you so much dear f for addressing us I really liked the fact that you highlighted science not science fiction and I was very impressed by the embody the AI capabilities that you showed us now let me start the continuation of this program I would like to bring to the stage or to call to the stage both Ena freed and Nick Thompson who will be hosting this whole
• 142:30 - 143:00 event today please Nick Ina please join me welcome wonderful welcome thank you thank Nicholas Thompson ameran I'll be one of the moderators on stage today we're going to have incredible series of pitches they're awesome we're going to see red teamers we're going to see scientific innovation we're going to see AI used for good lots of great stuff coming Ena just swe Ena no I don't speak
• 143:00 - 143:30 um but yeah I mean it's such an important time you know in 25 years of covering Tack and Silicon Valley I've never seen the technology move as fast there's so much potential and there's a lot still to be worked out and not a lot of time to do it so look forward to hearing some of the Innovations wonderful and before we start we will the United States Megan Smith Reminds me that aah love La also played a role she was in the 1800s suggesting that we need a calculus of the brain if you will uh
• 143:30 - 144:00 so with that I'm honored that one of the first speakers is one of the women helping lead this um and that is Claudia Gomez mon who leads a project called tech for nature from Mexico Claudia Conan over here and first what a beautiful stage to talk about such important topics and to be honest AI should be a tool that helps us all not
• 144:00 - 144:30 only drive nearr efficiency but Collective purpose we know that AI is transforming every industry but there's particularly one critical area that needs our full attention as an AI ecosystem which is nature conservation and regeneration and this becomes not only an environmental issue it becomes an issue of technological access it becomes an issue of economy it becomes an issue of fairness it becomes an issue of
• 144:30 - 145:00 economic stability and let me tell you a bit more about the region I'm from Latin America and the Caribbean this region is home to more than 40% of the world's biodiversity and this is the same biodiversity that is one that is regulating the climate around the world one that is being the pillars of innovation and the pillars of all Industries however biodiversity is being lost and alarming rates at C mines the
• 145:00 - 145:30 organization I founded and I lead we believe this is not a problem of solutions it is a problem of imagination it is a problem of interoperability of joining the finance the conservation and the technological worlds to bring purpose in this field as and to drive it both ethically and context wise for us it has meant to explore the frontiers of innovation and how to use these tools to redefine
• 145:30 - 146:00 paradigms paradigms that are centered in nature paradigms that are centered in an economy that has a new frontier based on balance on equity on Justice specifically we're working with AI systems to understand how to protect better the Jaguars in southern Mexico the peninsula of Yucatan a Mayan indigenous people Rich culture area and what we're doing is we're developing
• 146:00 - 146:30 together with a local community which is mayam based and the local students from local universities two deep learning models that are redefining what is possible for conservation the models do not only allow us to recognize patterns through camera traps with thousands of images coming daily through these iot systems but also it helps us to understand the presence of jaguars and the individual species based on the patterns of The Furs or recet as
• 146:30 - 147:00 we know and this is not only a mere topic of understanding the presence of a Jaguar but I don't know if you know but the Jaguars are considered an umbrella species which means that if the Jaguar is healthy the whole ecosystem around the Jaguar where is present is healthy it becomes a proxy for stability and for ecological wellness and also the Jaguar has a rich and profound cultural importance it is a symbol for not only
• 147:00 - 147:30 the Mayan indigenous peoples but through a lot of indigenous peoples around Latin America and the Caribbean it is a symbol of power it is a symbol of balance it is a symbol of just Transitions and thus you can understand why we're focusing not only in the biological import import of the Jaguar but in the cultural one as well having Ai and multi- sector collaborations and the Partnerships with local community as an interface to create a reality that is
• 147:30 - 148:00 more nature-based that relies on regeneration and redefines the possibilities of justness and equity and fairness and this project that we're helping Drive in the south of Mexico is having a lot of specific quy Sals that are multi level one we have developed a tool and a platform that is open to anyone that is interested in Jaguar conservation throughout any region to be able to use our models and use our tools
• 148:00 - 148:30 openly without cost to be able to advance their costs on this conservation second we're joining these efforts with another interoperable system where we're using AI sound pattern recognitions to identify the presence of other species for us it has meant to identify more than 117 species in that area which are endemic and most of them an endangered species actually some scientists didn't even know that some specific species
• 148:30 - 149:00 were present in that area and the data that we're having through these AI driven systems are helping integrate a platform where we can integrally understand the health of vehicle system third we're driving policy what are we doing exactly this project was a base to create the state wide policy of the 30x30 conservation Statewide policy on protecting and conserving 30% of land and SE by 2030 and this is not only important for
• 149:00 - 149:30 the policy level but it also serves as a metaphor for Global change through this project and through the data decision making this region and this natural reserve was also registered in the global natural reserves of iucn and lastly it became the footprint the metaphor and inspiration for the Jaguar Regional bio quar Alliance which we have presented at cop last year together with the interamerican development bank and our partners to be
• 149:30 - 150:00 able to scale a philosophy of interoperability and when I see interoperability we're going Beyond data Beyond technology but interoperability of knowledge systems of possibilities and what we're seeing here are two main things the first is that we cannot separate technology and AI driven systems from the social the cultural the economic and the systems that embed
• 150:00 - 150:30 Injustice they have to go hand inand together with ethical considerations and context wise philosophies and second it has shown and has become a metaphor the Jaguar of the type of economies that we should create economists that yes are led by AI but at its core have a principle of regenerative Justice like the Jaguar of
• 150:30 - 151:00 balance and a transformation based in equity thank you very much so you know one of the things about nature and AI is the intense amount of energy use that's being used for these AI systems how do you reconcile the work that you're doing with AI with the fact that the industry you're a part of uses so much energy it is a key question to this work and any type of work that uses
• 151:00 - 151:30 AI so we believe in green AI what does that mean we have to recognize that we have to walk towards an AI that we mitigate and we reduce energy consumption and at the same time we have to mitigate the ecological footprint for for us we're working with tech providers that are conscious of the energy use and while we transition to that energy efficient systems we're mitigating our footprint with regenerative ecosystem approaches awesome well I I had the
• 151:30 - 152:00 opportunity uh your Project's incredible I also had the opportunity at our AI Summit that axio did in San Francisco I don't know if you're aware the Earth species project they're helping us talk to animals I don't know if Jaguars will be a part of it yes indeed and we're also working with Wales so that will we will present that coming up thank you so much Gomez m so our next speaker uh comes to us from Nepal is working on a project called satellites for Humanity please welcome
• 152:00 - 152:30 nian badio hello you're on thank you my name is today I'm representing anistan Nepal and it's umbrella project satellites for Humanity now first going back to the project let's give some brief about the organization itself an is a
• 152:30 - 153:00 nonprofit Aerospace company specializing in space specially ground stations station terminals open source and proprietary software systems with a capab and we are also doing for onard systems and Dr stations as so now let's uh imagine that you're sipping a cup of tea in a very beautiful
• 153:00 - 153:30 mountain range and all of a sudden a wall of water comes down storming sweeping everything around you that's uh glacia Lake out was FL and because of climate change a lot of those incidents are being frequent in a country like Nepal and Himalayan countries uh incidents like flash floods landslides forest fire Dr and so on so satellite for humanities aim to fill the gap between the incident and the response
• 153:30 - 154:00 now that response could be post disaster or pre- disaster using some early warning uh systems in place so in 2021 uh in mumi River there was a very big flood so we customed our uh ground station terminals uh with a communication to a cube that would provide us data whether uh from cubat to ground station of Nas
• 154:00 - 154:30 Nepal Academy of Science and Technology we were able to use those data to model some uh early warning system predictive mod unfortunately the uh ground station terminal was also Swept Away uh but uh we got the data and we got the learning so that's fine uh after that we went to uh collaboration with k with a objective of utilizing all the open source satellite datas uh and uh
• 154:30 - 155:00 commercial datas and Commercial uh AI models as well to enhance our systems and provide uh satellite data analytics so under the project satellite data analytics project we delivered them with some flood hazards uh risk hazards and all kind of satellite uh data analytics with AI insights uh from which we were able to direct the problems pinpoint the problems and provide Alterna viable
• 155:00 - 155:30 Solutions uh so with that solution in place we were able to create some positive impact among uh 2 million residents of that met Metro City and around 6 million commuters of that place uh to make more our system more robust we are more inclined to models like hi classification models IM segmentation models and for ground stations for Mak our early warning
• 155:30 - 156:00 system more robust uh we are using predictive models from the data that we are getting from also estim uh that we are working on we have been working on for few years now
• 156:00 - 156:30 while we challenged our and this special Dimension and by some point we are able toed accuracy of% for similar Urban uh geography for the model to be open sourced and used on different places as well along with that we have three
• 156:30 - 157:00 different satellite projects and uh we are on the verse of completion of the third to St project now with each iteration of we have enhanced the systems systems Hardware communication and specifically the AI models that we have been using started with a model for Aji model for IM classification and uh we op for
• 157:00 - 157:30 image classification as well as segmentation and uh this third one is more better model than that and we are also testing the feasibility of smaller language model on on Satellite computer itself it's like imagine having a uh Capac of analysis and rational thinking in a mini comp mini sa it's like having a mini as exciting and what's more exciting is uh collaboration with
• 157:30 - 158:00 like-minded people and organization like you uh on projects like this and I'm very sure that we'll be able to achieve something significant by this year so thank you for the opportunity and thank you foring the attention have a good day thank you good job um so I mean talk about sort of how how did you end up in this work what brought you to the
• 158:00 - 158:30 project personally yeah so in Nepal space technology was so I started fortunately I got a very first place and I was also very excited about p and Technologies from childhood so it clicked and also the narrative that that the organization draws about not only being fancy about this space but also actually solving some real world problems step by step uh
• 158:30 - 159:00 initially it looks small but it has a huge impact and uh Believing on those objectives it just motivates to do more to be involved in more projects to complete more of these uh so yeah it's it's like it's exciting the coming projects are exciting the project that we have done are exciting so yeah and how can people check out your work uh we have uh websites uh we are in booth number one so you can come and have a chat with us uh and we also have a
• 159:00 - 159:30 LinkedIn tree QR somewhere over there all right so if you want to hear more about Nan's project in there in Booth one thank you so much thank you so much thank you uh so we're going to shift a little bit from uh from what we were were talking about the first couple projects looking at uh things to we're going to also switch languages so next up please help me welcome ran faru from Gaia and this presentation will be in French thank you very much mer
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• 167:00 - 167:30 cool Roman Mercy um so I was trying to use Google Translate real quick but I it wasn't keeping Pace what's one thing you hope that the English speakers will take away the fact that in France we have a
• 167:30 - 168:00 um a kind of lab an experience and a feedback from uh 15 years of act Tech and the maturity to see how uh valorize aggregate all the uh environmental data that we have around in the farming uh sector and around around the farming sector to create more knowledge uh more uh new strategies uh more to be more helpful with the data for Farmers excellent and all over the world we have
• 168:00 - 168:30 uh uh in heart to share that experience and to uh launch it uh anywhere uh we can find the same parameters and problematics and eating better being uh more safe with what we produce is a I think a challenge that we share uh all over the world and there's so much we need to improve our food uh technology especially when you think the the amount of aable land the amount of land we can grow food on is shrinking our population
• 168:30 - 169:00 is growing climate's getting trickier but if we can use technology to spread the knowledge we'll be better off exactly what we think and what we believe in excellent thank you so much R thanks both thanks to all of you uh so thank you so much this is our first session we'll be back around 11: uh so 15 minutes come back and we'll have more presentations and uh I'll be joined on stage my colleague Nick Thompson from the Atlantic will be uh taking over Ministry of internal affairs and Communications of Japan Mr Tako
• 169:00 - 169:30 imagawa please good morning thank you Audrey it's great honor I'm sorry it's great H it's a great honor to be here and thank you for having me here in the this uh important session first of all let me talk about recent progresses by the G7 and OCD on the international R governance in last two years Japan contribut contributed to the launch of the hosim May process under the Japan's G7 presidency in 2023 and developed the
• 169:30 - 170:00 international guiding principles and international code of conduct for advanced AI developers with the G7 member states and the oecd in order to ensure the effectiveness of implementing code of conduct by AI developers we have developed the reporting framework as just already explained under the Italian G7 presidency and launched this this mechanism last Friday before the uh just before the AI action Summit because the focus of this Summit is action it is
• 170:00 - 170:30 very important for the hirosima process to Foster AI developers to move forward and to put this code of conduct into action we hope that this reporting framework will promote Innovation while improving transparency and accountability in the development development of generative Ai and we also hope that efforts based on the code of conduct will spread globally we also hope to encourage many AI developers to participate in the reporting framework in addition as the
• 170:30 - 171:00 code of conduct is a living document we would like we' like to appreciate receiving feedback from the participating organizations to promote safe secure and Trust forth the AI not only companies but also governments should play should play an important role the is in the process of establishing a new leg legislative framework for AI we are trying to strike the right balance between Innovation and risk management and also uh to ensure consistency with
• 171:00 - 171:30 International Frameworks including the hirosima process our goal isan one of the most Innovation friendly countries in the world under new legislation will serve as one of the successful models for the global Society finally uh Japan will contribute to uh Japan will continue to contribute to International efforts and cooperate with cooperate with the international Society to further Advance the hosay process and we also would like
• 171:30 - 172:00 to invite more uh companies to participate in this in this reporting framework thank you thank you Vice Minister it's been a great pleasure to cooperate with Japan under your leadership in the G7 followed by Italy as you say to bring this publicly let's uh turn now to um some some people closer to the action uh and I'm going to ask uh uh Miss Lisa Soder who is a senior policy re researcher at n interface to talk a little bit about
• 172:00 - 172:30 your experience um both on the technical side and on the research side and and what you think the role of voluntary commitments can play in the policy ecosystem wonderful thank you so much and a pleasure to be here today um so yeah I think it's really great to see so much consensus both in industry and government um that we need to take action on AI governance um and we with these voluntary commitments uh we really do have some wonderful tools at our hand
• 172:30 - 173:00 um to get some first feedback loops um into to AI governance so to get some first experience what kind of tools work what uh what doesn't um and so this is really great to see um also that the um reporting framework has been launched um last week but I think there's still one area uh where we do need to move faster and take a stronger stance and this is really centering all around this notion of accountability we're talking here
• 173:00 - 173:30 about an industry where there are a lot of companies that have this Mantra of let's move fast and break things um at the very core of their company DNA often um and so I don't think this puts in a really good um starting position to also trust them um to uh keep their promise so not break them um so what we really need for these uh voluntary commitments to be a real success um and to actually use them as this beautiful tool to get some first feedback loops and move very fast in in our governance
• 173:30 - 174:00 efforts um is to establish accountability mechanisms to give you like a very quick example maybe from um a lot of the reports that have been updated um this past week um from the companies in terms of how they're complying um with with the frontier safety commitment um that was launched in Su um there's a lot of this language in there around um we may decide or we aim to decide to share information with governments where we think it might be
• 174:00 - 174:30 appropriate if there's risk to Public Safety um and this is obviously not enough um from a citizen perspective from a government perspective to trust these companies um to do this um and and take action on this alone so going forward I really hope to see uh more work on transparency think framework is a really important First Step where we do have to go deeper and not just ask some high level questions for create accountability mechanism compliance checks we need to build our governance
• 174:30 - 175:00 capacity and ultimately I do think it's also an important step to think about how can we put these um commitments also on a legislative footing so I'm seeing here someone from the AI office uh thank you so much for your work on the code of practice please keep up the ambition levels uh also people from the UK AI Bill uh really please use this tool um as as a great starting point where you can build up your governance effort from there um and um keep going forward thank
• 175:00 - 175:30 you Lisa so uh you've highlighted well that uh we're sort of at the beginning of what is going to be a very long journey and uh having spent time many years in the private sector myself I can understand that it might be daunting even for large organizations to look AC across the landscape and decide what to volunteer for how to report what to tell who and why and so I'm curious since we have um two companies here uh on the
• 175:30 - 176:00 panel if you might talk a little bit Peter about um your experience there your thoughts around the role of these voluntary Frameworks and how harmonization may or may not help in the context of uh of uh of accountability to Lisa's point and so I with that I'll introduce Peter sarin who's a co-founder in CVP at um AMD Silo AI thanks it's it's an honor to be to be here um I mean I I uh I obviously
• 176:00 - 176:30 represent a very practical perspective um from from many different actually Dimensions uh and and feel sort of less accomplished than many on the panel related to the process through uh say uh Sol and Bletchley Park and and and here IMA and and so forth um but maybe I can add sort of you know uh some to to what we are actually seeing um and have seen for the past many years uh so um yeah I mean I Silo U um Europe's largest
• 176:30 - 177:00 private lab that was eventually acquired by AMD in the summer um but we've been in the space for for quite a few years we were founded end of 2017 um and been been in various different context model and building models both open source language models but also a wide range of other models um I mean I I think uh I think eventually um you know
• 177:00 - 177:30 we obviously believe in are are committed to legislation to uh the regulatory Frameworks and uh and also sort of voluntary commitments um um we do we I mean we do at the same time see that there's um quite significant complexity uh by being a practitioner in in in the space um and I think that complexity comes from the fact that there's no one such
• 177:30 - 178:00 thing as AI um there's just so many different perspectives to what AI is in the real world be sort of general purpose AI models Frontier AI or however you define it or then sort of AI models that are embedded into everything from I don't know say uh vacuum cleaners to uh lawn mowers to to brushes and you know that is the reality we are seeing in in in the real world um and and eventually
• 178:00 - 178:30 that that sort of practitioners are seeing in the in the real world and and I think a lot of the um say large language models in the real world they aren't necessarily like these GP AI type of models or or uh general purpose AI assistants but they're actually relying on open source and there are hundreds and thousands of them out there for various purposes optimized for that specific purpose um and and open source obviously add sort of qu quite a quite a
• 178:30 - 179:00 different dimension to the space as well which I think is sort of already in itself on its own tackling some of the sort of transparency and accountability Dimensions uh that that we are looking at with these sort of voluntary uh commitments um as well so I I do see sort of voluntary commitment as a way to maybe bridge the gap between sort of practical implementation and legislation um and help us move forward
• 179:00 - 179:30 but at the same time I think it is it is thank you for that um I'm going to turn now to Lisa sod who sorry sorry Sarah to Sarah hooker from the VP of research at C here curious on the research side do these voluntary commitments come across your radar what do you think of them um coh's been
• 179:30 - 180:00 committing to to at least the soul um the soul safety commitments and was involved a bit in the herim AI process as well so please share with with us your perspective yeah well it's to be here I mean I think that so coh is a frontier AI company and so it works on a global first perspective so actually a lot of our Focus very refreshing to be at the summit and to see the focus on global Ai and um multilingual AI that
• 180:00 - 180:30 serves a broader range of Interest I lead our research teams model and I think a resarch something has traditionally being reserved for conferences
• 180:30 - 181:00 I'll many other AI companies submitted there is a wide variance so it sounds like say you mentioned you've read a few of them I would say ours is very centered on like privacy and security and dat MultiLing maybe morei longterm risks everything has a portfolio but the first thing I'll say is I wish Lu for the you
• 181:00 - 181:30 know pocy makers have to reconcile this so there's an interesting aspect to this which is part of having voluntary commitments iima commitments standardizing some the questions to ask so this is very helpful I think this is the first but the longevity of this will rest on whether it is possible to reconcile and that it's actionable at the end of the day so
• 181:30 - 182:00 this is a nice moment we're all here there's very few rooms in the world that have all of us at the same time but part of that discussion has to be an acknowledgement that there's a lot of work ahead and whether these are you know whether this is a you know three voluntary commitments a year type of thing or whether has long ity depends on firstly how do you reconcile these very different perspectives of risk but secondly how is it actionable in the long run so this is a starting point for this conversation thank you Sarah I I think
• 182:00 - 182:30 we we fully agree and it's why um I think the Japan and then Italy had the vision of taking uh principles on a paper and trying to standardize the format because we have experience in other domains of Technology where we have transparency reports on many things out of companies that are not comparable across uh across organizations and certainly not at an international level so agree it's definitely a first step and the code I think itself will have to evolve over time as technology advances
• 182:30 - 183:00 um but the the objective behind it is also for it to be public transparent and so that it can inform our research at the oecd but certainly everybody out there so with that I'm going to turn to Professor to talk to us maybe a little bit more um from an from an academic perspective uh and his thoughts on on um voluntary commitments uh but also more broadly um The Experience uh in Academia looking at uh AI safety and and AI uh development so professor John mcdermid
• 183:00 - 183:30 he was a professor of software engineering at the University of York you have the floor yeah thank you very much and again I'm very um pleased to be here and I'd actually like to pick up on some Sarah was saying about making things actionable and my colleagues and I in New York have worked on safety of software intensive system for nearly 40 years the last seven on autonomy and systems using AI um supported by the Law's register foundation so I think there are cases where autonomy is valuable but actually with Frontier AI I
• 183:30 - 184:00 think they are best used based on our experience to actually augment human skills rather than to try to supplant them um governments have a role to play in managing risks and the Hiroshima um process I think is very welcome there I think the critical steps actually lie with the the companies they're the ones who can actually shape the models and and make them safe so from that point of view the frontier ey safety commments I think are very welcome but actually implementing them making them manageable
• 184:00 - 184:30 I think is a real challenge I'd like to talk about some of things from the traditional safety engering world but as adapt to to software intensive systems they're going to help doing that and the first thing is we have to understand the context of use um and to us given how broad these Foundation models are that means we need to link what we call Upstream safety which is around the frontier models themselves with Downstream safety what happens for an application in particular context of use
• 184:30 - 185:00 um to me one of the really critical needs is better measures of risk assessment these ideas of criticality levels I think are a starting point we need to understand the scale of deployment things that can be deployed on millions or even billions of um uh devices is in several hours or days is is a is a huge risk factor that we need to take into account um we need to talk about societal impact we also need to understand the ability to remediate harm
• 185:00 - 185:30 if something occurs and we can't remediate it once it's happened we must avoid it if it can be rectified we can take a different attitude to that risk we also need to worry about single points of failure and what happened recently with crowd streak I think is a good example of of that um we need to be able to design for safety and for Assurance and that's something where I think the AI safety world can very much learn from the safety critical systems industry another really critical aspect is being able to diagnose problems if
• 185:30 - 186:00 problems arise us AI is starting to create understand reason and interact in int intangible 3D spaces whether digital or physical it can be used to interact with people and things and we call this spatial and embodi intelligence take a image like this one as an example our visual intelligence
• 186:00 - 186:30 make it easy for us to recognize everything that's in it the cat the pot of plant the table and of course that glass of milk but is that really all perception our perception is giving us I'm willing to bet if some of you look at this picture there's more than a few of you um are just understanding this image but also you're dying to reach out and grab the glass of milk before it
• 186:30 - 187:00 shatters over the floor this is a trivial example but it highlights how profound the difference is from merely observing to acting it illustrates the inflection point I believe where about to be reaching at which AI goes from an observer to an actor alongside Us in fact with respect to my hero Alan Turing I now believe his vision of the future
• 187:00 - 187:30 was too narrow and too inward facing Evolution itself has taught us unequivocally that the real power of intelligence isn't merely to think but to to drive action with those thoughts just think about how much humans uh spatial intelligence has empowered us to build our civilization
• 187:30 - 188:00 from ancient pyramids to Industrial Revolution from scientific discovery to artistic expression how will our relationship with the world around us change even further when AI expands our facial and embodied intelligence What will what will it help and help us to create and discover what kind of future are we already in the process of
• 188:00 - 188:30 building well here's a glimpse of the rapidly evolving technology of spatial intelligence I'm showing you here four examples by my students at Stanford and colleagues at World labs ranging from the top uh the upper left uh panel is the semantic labeling of complex everyday videos to the upper right panel
• 188:30 - 189:00 artistic style transfer to the lower left panel generative AI algorithms creating videos from text prompts to the lower right panel uh making 3D worlds from any image and that's right you're in indeed seeing the Beloved painting by vano of a French cafe brought into an imaginary 3D World by our generative AI models and equally exciting robotics a
• 189:00 - 189:30 form of embod AI is also rapidly advancing these two work from my lab are the latest example of combining robotic learning with large language and vision models allowing robots to perform everyday human tasks in much more open realistic settings compared to the previous generation of robots that were
• 189:30 - 190:00 highly programmed and choreographed these are exciting possibilities but if AI were truly become not only thinking machines but also doing machines our Collective respons responsibility in shepherding this technology becomes even more urgent and important I don't think it's an exaggeration to say all this has brought us to a moment of civilizational
• 190:00 - 190:30 consequences so how are we going to navigate this I think this is also the purpose of our gathering this week this question has guided my work for years while I'm certain there are no easy answer to to be found one theme continuously to run across all my work this is what I call human Center AI which consists of three simple values
• 190:30 - 191:00 dignity agency and Community First is dignity in the face of more and more powerful Technologies we as humans are often confronting the question of what defines us stripping away from all the tasks we're able to do the fundamental pride of being who we are making decisions on our own and conducting actions by ourselves is still
• 191:00 - 191:30 Central to our very being nothing would excit me more if this technology can help protect and even return that sense of dignity to all of us especially to the most vulnerable and this is an example how Robotics and AI technology can one day help endow the sense of autonomy to even the most paralyzed patients in this Stanford project by my
• 191:30 - 192:00 collaborator students a robotic arm is controlled purely by the thoughts of the person collected noninvasively through EEG and the recording of brain waves our AI algorithms are able to decode that person's thoughts and instruction and guide a robotic arm to make a full Japanese Sukiyaki
• 192:00 - 192:30 meal second is agency a core tenant of my lab's work has been exploring applications of AI that augments what humans are capable of instead of replacing them jobs will inevitably be impacted by the progress of AI just as every major technological shifts in history has reshaped the labor market instead of believing
• 192:30 - 193:00 AI help to augment and Empower us from creativity to Health Care from scientific discovery to manufacturing much of AI skill set are complementary to that of humans there's so much opportunity for us to take advantage of this digital or physical collaborator to superpower
• 193:00 - 193:30 ourselves my lab's work in the past decade in AI healthc care delivery has shown me many opportunities for AI to help to improve the quality of care and to alleviate the burdens of our healthare workers here are three examples of using smart cameras powered by AI algorithm to help hospitals to improve hand hygiene practice by
• 193:30 - 194:00 clinicians to help document patient Mobility exercises to and to assist surgical instrument tracking last but not the least is community so much of the last decade has been a story of Technology tearing us apart filter bubbles rage bait and all the likes AI is at another fork in this road with one leading to AI that
• 194:00 - 194:30 overshadow real social experiences and personally tailor content that confirms our biases but on the other path leads towards a world in which AI help us to build better bigger and more robust communities such as educational assistance that bring the ability to learn to more and more people kids and grown-ups alike here's just two quick
• 194:30 - 195:00 examples on the left Ai and and VR to support dyslexic college students as personalized learning tools on the right is an AI expert created by University of Buffalo in the US focusing on augmenting the shortage of speech language pathologist to to come to early intervention for children aged 3 to 10 with speech and
• 195:00 - 195:30 language processing challenges all these bring me to the last idea I would like to share with you today at this civilizational moment how can we work together to govern AI in a way that preserves the astonishing potential in a rational practical and responsible way for starters it's essential that we govern on the basis of
• 195:30 - 196:00 science not science fiction from the main street to the Wall Street so much of today's AI conversations are colored by sensationalism and hyperbole resulting in Miss leading policies of AI governance instead we need to apply a much more scientific method in assessing and measuring ai's capability and limitations which can consequentially
• 196:00 - 196:30 led to more precise actionable policies grounded in reality in turn this brings me to the second point of embracing a pragmatic attitude in instead of a ideological one when it comes to AI governance AI is poised to be a powerful technology that can help us to live and work better if used well so instead of hindering the
• 196:30 - 197:00 Upstream exploration research of this still very young technology we should put more focus on this practical applications so that we can ensure its benevolent usage and to guard against harmful outcome finally we need to invest in far more healthier and vibrant AI ecosystem where Academia
• 197:00 - 197:30 entrepreneurs uh open source communities and public sector can all participate and play their critical role alongside big companies in driving this technology forward if AI is going to change the world we need everyone from all walks of life to have a role in shaping this change earlier in this talk I spoke about three critical ingredients that
• 197:30 - 198:00 brought uh brought us modern data and compute if the bulk of these resources are concentrated in only a handful of companies the AI ecosystem will suffer from the lack of curiosity driven research top educational talents open source efforts and multidisiplinary Explorations so 75 years
• 198:00 - 198:30 ago Alan Turing saw a glimpse of the future and was inspired enough to DARE Humanity to build a thinking machine today we have taken T stare to a level that he probably could not have imagined the technological advances of the AG of AI is breathtaking I believe time has
• 198:30 - 199:00 come for a new kind of dare rather than simply asking if we can create AI let's ask if we can create AI as a force of good in short today I would like to to DARE all of us to build a human centered AI thank you thank you so much dear f f thank
• 199:00 - 199:30 you let them take picture of of us yeah I'll be so proud thank you thank you so much for doing this thank you I much appreciate thank you thank you so much de fath f for addressing us I really liked the fact that you highlighted science not science fiction and I was very impressed by the embodied AI capabilities that you showed us now let
• 199:30 - 200:00 me start the continuation of this program I would like to bring to the stage or to call to the stage both Ina freed and Nick Thompson who will be hosting this whole event today please Nick Ena please join me welcome wonderful welcome thank you Nicholas Thompson I'll be one of the moderators on stage today we're going to have
• 200:00 - 200:30 incredible series of pitches they're awesome we're going to see red teamers we're going to see scientific innovation we're going to see AI Ed for good lots of great stuff coming Ena just sweeta no I don't speak um but yeah I mean it's such an important time you know 25 years of covering Tech in Silicon Valley I've never seen a technology move as fast there's so much potential and there's a lot still to be worked out and not a lot of time to do it so look forward to hearing some of the Innovations all right wonderful and before we start we
• 200:30 - 201:00 will see the the United States Megan Smith Reminds me that aah love lace also played a role she was in the 1800s suggesting that we need a calculus of the brain if you will uh so with that I'm honored that one of the first speakers is one of the women helping lead this um and that is Claudia Gomez Mont who leads a project called tech for nature from Mexico [Applause]
• 201:00 - 201:30 Claudia constan over here and first what a beautiful stage to talk about such important topics and to be honest AI should be a tool that helps us all not only drive mere efficiency but Collective purpose we know that AI is transforming every industry but there's particularly one critical area that needs our full attention as an AI ecosystem which is nature conservation
• 201:30 - 202:00 and regeneration and this becomes not only an environmental issue it becomes an issue of technological access it becomes an issue of economy it becomes an issue of fairness it becomes an issue of economic stability and let me tell you a bit more about the region I'm from Latin America and the Caribbean this region is home to more than 40% of the world's biodiversity and this is the same biodiversity that is one that is regulating the climate around the world
• 202:00 - 202:30 one that is being the pillars of innovation and the pillars of all Industries however biodiversity is being lost and alarming rates at sees the organization I founded and I lead we we believe this is not a problem of solutions it is a problem of imagination it is a problem of interoperability of joining the finance the conservation and the technological worlds to bring purpose in this field
• 202:30 - 203:00 and to drive it both ethically and context wise for us it has meant to explore the frontiers of innovation and how to use these tools to redefine paradigms paradigms that are Cent in nature paradigms that are centered in an economy that has a new frontier based on balance on equity on Justice specifically we're working with AI systems to understand how to protect
• 203:00 - 203:30 better the Jaguars in southern Mexico the peninsula of Yucatan a Mayan indigenous people Rich culture area and what we're doing is we're developing together with a local community which is mayam based and the local students from local universities two deep learning models that are redefining what is possible for conservation the models do not only allow us to recognize patterns through camera traps with thousands of images
• 203:30 - 204:00 coming daily through these iot systems but also it helps us to understand the presence of jaguars and the individual species based on the patterns of The Furs or resets as we know and and this is not only a mere topic of understanding the presence of a Jaguar but I don't know if you know but the Jaguars are considered an umbrella species which means that if the Jaguar is healthy the whole ecosystem around the Jaguar where is present is healthy
• 204:00 - 204:30 it becomes a proxy for stability and for ecological wellness and also the Jaguar has a rich and profound cultural importance it is a symbol for not only the Mayan indigenous peoples but through a lot of indigenous peoples around Latin America and the Caribbean it is a symbol of power it is a symbol of balance it is a symbol of just Transitions and thus you can understand why we're focusing not only in the
• 204:30 - 205:00 biological importance of the Jaguar but in the cultural one as well having Ai and multi- sector collaborations and the Partnerships with local community as an interface to create a reality that is more nature based that relies on regeneration and redefines the possibilities of justness and equity and fairness and this project that we're helping Drive in the south of Mexico is having a lot of specific Corey salts
• 205:00 - 205:30 that are multi level one we have developed a tool and a platform that is open to anyone that is interested in Jaguar conservation throughout any region to be able to use our models and use our tools openly without cost to be able to Advance their costs on this conservation second we're joining these efforts with another interoperable system where we're using AI sound pattern recognitions to identify the presence of other species for us it has
• 205:30 - 206:00 meant to identify more than 117 species in that area which are endemic and most of them an endangered species actually some scientists didn't even know that some specific species were present in that area and that data that we're having through these AI driven systems are helping integrate a platform where we can integrally understand the health of the ecosystem third we're driving policy what are we doing exactly this project
• 206:00 - 206:30 was a base to create the Statewide policy of the 30x30 conservation Statewide policy on protecting and conserving 30% of land and sea by 2030 and this is not only important for the policy level but it also serves as a metaphor for Global change through this project and through the data decision making this region and this natural reserve was also registered in the global natural reserves of iucn and lastly it became the footprint
• 206:30 - 207:00 the metaphor and the inspiration for the Jaguar Regional biocord Alliance which we have presented at cop last year together with the interamerican development bank and our partners to be able to scale a philosophy of interoperability and when I see interoperability we're going Beyond data Beyond technology but interoperability of knowledge systems of possibilities and what we're seeing here
• 207:00 - 207:30 are two main things the first is that we cannot separate technology and Aid driven systems from the social the cultural the economic and the systems that embed Injustice they have to go hand in hand together with ethical considerations and context wise philosophies and second it has shown and has become a metaphor the Jaguar of the type of economies that we should create
• 207:30 - 208:00 economists that yes are led by AI but at its core have a principle of regenerative Justice like the Jaguar of balance and a transformation based in equity thank you very much so you know one of the things about nature and AI is the intense amount of energy use that's being used for these
• 208:00 - 208:30 AI systems how do you reconcile the work that you're doing with AI with the fact that the industry you're a part of uses so much energy it is a key question to this work and any type of work that uses AI so we believe in green AI what does that mean we we have to recognize that we have to walk towards an AI that we mitigate and we reduce energy consumption and at the same time we have to mitigate the ecological footprint for for us we're working with tech providers
• 208:30 - 209:00 that are conscious of the energy use and while we transition to that energy efficient systems we're mitigating our footprint with regenerative ecosystem approaches awesome well I I had the opportunity uh your Project's incredible I also had the opportunity at our AI Summit that axio did in San Francisco I don't know if you're aware the Earth species project they're helping us talk to animals I don't know if Jaguars will be a part of it yes indeed and we're also working with Wales so that will we will present that coming up thank you so
• 209:00 - 209:30 much castanza Gomez M so our next speaker uh comes to us from Nepal is working on a project called satellites for Humanity please welcome nian badio hello hello check you're on thank you uh bonjo mid Mish my name is Nan Bak
• 209:30 - 210:00 uh today I'm representing anara praan Nepal and it's umbrella project satellites for Humanity now first going back to the project let's give some brief about the organization itself Anar is a nonprofit uh Aerospace company specializing in space te especially Cube SATs ground stations ground station terminals open source and proprietary software systems with AI capabilities and we are also doing uh
• 210:00 - 210:30 different research and development projects on uh AI models for onboard systems and ground stations as well so now let's uh imagine that you're sipping a cup of tea in a very beautiful mountain range and all of a sudden a wall of water comes down storming sweeping everything around you that's uh Glacier Lake out flood and because of climate change a lot of those incidents are being frequent in country like Nepal and Himalayan countries uh incidents
• 210:30 - 211:00 like flash floods uh landslides forest fire drought and so on so satellite for humanities aim to fill the gap between the incident and the response now that response could be post the dis or pre disaster using some early warning uh systems in place so in 2021 uh in mumi River there was a very big flood so we customed our
• 211:00 - 211:30 uh ground station terminals uh with a communication to a cubat in space uh that would provide us data of whether uh from cubat to ground station of Nas Nepal Academy of Science and Technology we were able to use those data to model some uh early warning system predictive models unfortunately the uh ground station terminal was also Swept Away uh but uh we got the data and we got the learning so that's
• 211:30 - 212:00 fine uh after that we went to uh collaboration with KATU Metropolitan city with a objective of utilizing all the open-source satellite datas uh and uh commercial datas and Commercial uh AI models as well to enhance our systems and provide uh satellite data analytics so under the project satellite data analytics project we delivered them with some flood hazards uh risk hazards and
• 212:00 - 212:30 all kind of satellite uh data analytics with AI insights uh from which we were able to derive the problems pinpoint the problems and provide alternative viable Solutions uh so with that solution in place we were able to create some positive impact among uh 2 million residents of that metro metro City and around 6 million commuters of that place uh to make more our system more
• 212:30 - 213:00 robust we are more inclined to AI models like age AI image classification models uh image segmentation models and for ground stations for making our early warning system more robust uh we are using predictive models from the data that we are getting from uh different glacial lakes and rivers also the population estimation model uh that we are working on we have been working on for few years now uh
• 213:00 - 213:30 actually uses uh satellite data end to end to provide the estimation of population of a building so the stateof the art model can provide a GD level population estimation uh while we challenged ourself and increas the spal dimension uh and uh also increase the accuracy by some point we are able to predict the population of a building of kandu metropolen city with accuracy of around 87% till now and we are working
• 213:30 - 214:00 on that to make it more general for similar Urban uh geography uh for the model to be open sourced and used on different places as well along with that we have uh three different satellite projects uh we completed two and uh we are on the verge of uh completion of the third the slippers to sat project now with each iteration of satellite project we have uh enhanced the systems systems Hardware
• 214:00 - 214:30 uh communication and specifically the AI models that we have been using so we started with AI model for image Aji model for image classification and uh we opt for image classification as well as segmentation and uh this third one is more better model than that and we are also testing the feasibility of smaller language model on a on Satellite computer itself it's like imagine having a uh capacity
• 214:30 - 215:00 of analysis and rational thinking in a mini Compu mini satellite it's like having a mini astronaut is exciting and what's more exciting is uh collaboration with like-minded people and organizations like you uh on projects like these and I'm very sure that we will be able to achieve something significant by this year so thank you for the opportunity and uh thank you for uh giving your attention Mery have a
• 215:00 - 215:30 good day thank you good job um so I mean talk about sort of how how did you end up in this work what brought you to the project personally yeah so in Nepal space technology was a new thing a big thing and a new thing uh so I started uh I fortunately I got a very good Mentor on first place and I was also very excited about space and Technologies
• 215:30 - 216:00 from Charwood so it clicked and also the narrative that that the organization draws uh about not only being fancy about this space but also actually solving some real world problems step by step uh initially it looks small but it has a huge impact and uh Believing on those objectives it just motivates to do more to be involved in more projects to complete more of these uh so yeah it's it's like it's exciting the coming
• 216:00 - 216:30 projects are exciting the projects that we have done are exciting so yeah and how can people check out your work uh we have uh websites uh we are in booth number one so you can come and have a chat with us uh and we also have a link in Pre QR somewhere over there all right so if you want to hear more about Nan's project in in Booth one thank you so much thank you so much thank you uh so we're going to shift a little bit from uh from what we were were talking about the first couple projects
• 216:30 - 217:00 looking at uh things to we're going to also switch languages so uh next up please help me welcome ran faru from Gaia and this presentation will be in French thank you very much Mercy mer
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