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“AI Info” Tag Moves to More Subtle Menu Placement

Meta Eases Visibility of AI Labels on Facebook and Instagram

Last updated:

Mackenzie Ferguson

Edited By

Mackenzie Ferguson

AI Tools Researcher & Implementation Consultant

In a step to refine AI labeling on its platforms, Meta will now place the "AI Info" tag within the three-dot menu on Facebook and Instagram posts. This update comes in response to feedback and aims to better indicate the extent of AI editing on content, moving the label away from its previous direct placement under usernames.

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Meta, the parent company of Facebook, Instagram, and Threads, is revising the way it labels content that has been edited or manipulated using generative AI. Instead of having the “AI Info” tag directly beneath the user’s name, the tag will now be placed within a menu accessible via a three-dot icon in the top-right corner of images and videos. This change, announced in a recent blog post by Meta, aims to better reflect the extent of AI utilization across the platforms.

    Previously, Meta tagged all AI-related content with an “AI Info” label, regardless of whether it was lightly adjusted in a tool like Photoshop or fully generated from a prompt. Users can click on the new menu option to check if AI information is available and to read about the adjustments made. The updated labeling system comes after the original “Made with AI” label faced criticism from creators and photographers for incorrectly tagging real photos.

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      Meta's decision to modify the labeling approach stems from both user feedback and the need to provide more accurate information regarding AI usage in content. The revised system will still display the 'AI Info' label for content identified as being generated by an AI tool, either through industry-shared signals or self-disclosure from the content creator. Among the systems that Meta's new labeling mechanism relies on are Adobe's Content Credentials metadata supported by the C2PA standard and Google's SynthID digital watermarks, although Meta has not specified all the systems it uses to detect AI-edited content.

        The revised labeling system also raises concerns about the potential for users to be misled, as the tags for real images that have been manipulated will now be less visible. As generative AI editing tools become more advanced and widely available, particularly on new smartphones, the subtle labeling might make it more difficult for users to discern the authenticity of the content they are viewing. This change highlights the ongoing challenge of balancing transparency and user experience in the realm of AI-generated media.

          The update, which goes into effect next week, reflects Meta’s ongoing efforts to navigate the complex landscape of AI-generated and AI-edited content. By moving the “AI Info” label to a less prominent location within a menu, Meta aims to address previous criticisms while also enhancing the clarity of AI usage in digital content. However, the effectiveness of this approach remains to be seen, particularly in terms of user engagement and the ability to accurately identify AI-generated content.

            As AI technology continues to evolve, so too will the methods of monitoring and disclosing AI usage in digital content. Meta’s adjustments serve as a case study in how major tech companies are attempting to adapt their platforms to the growing capabilities and challenges posed by generative AI. It remains crucial for businesses and individuals to stay informed about these changes, as the implications reach far beyond social media, impacting areas such as digital marketing, content creation, and information dissemination.

              In summary, Meta’s updated approach to labeling AI-edited content represents an effort to balance the need for transparency with user experience. While the move to make the “AI Info” tags less prominent addresses past criticisms, it also raises new concerns about potential misinformation and the ease with which users can identify AI-manipulated media. As the rollout commences, it will be important to observe how users adapt to the change and whether it successfully achieves its intended goals of better reflecting AI's role in content creation.

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