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Meta Rebrands Photo Labels to ‘AI info’ Amid Criticism Over AI Editing Recognition

Meta Rebrands Photo Labels to 'AI info' Amid Criticism Over AI Editing Recognition
Meta Rebrands Photo Labels to 'AI info' Amid Criticism Over AI Editing Recognition

Meta faced criticism after introducing a “Made with AI” label on photos in May, which photographers argued inaccurately applied to images edited with basic tools. Responding to feedback and confusion, Meta has now rebranded the tag to “AI info” across all its apps.

This change aims to clarify that tagged images may involve AI-powered editing tools rather than being entirely AI-generated. Meta acknowledged that its previous labeling system did not align with user expectations, especially for photos with minor AI modifications like retouching.

Despite the label update, Meta continues to detect AI usage in photos using technical metadata standards such as C2PA and IPTC. This means images altered with tools like Adobe’s Generative AI Fill, used for object removal, may still receive the “AI info” tag.

Meta Rebrands Photo Labels to 'AI info' Amid Criticism Over AI Editing Recognition

Meta Rebrands Photo Labels to ‘AI info’ Amid Criticism Over AI Editing Recognition

Meta hopes the new label will better inform users about AI’s role in photo creation and modification, striving for clearer communication amid ongoing industry discussions on improving standards.

However, the rebranded tag does not address concerns over fully AI-generated photos slipping past detection, nor does it quantify the extent of AI editing in labeled images.

This leaves photographers uncertain about how their work will be classified and urges platforms like Meta to develop fair guidelines without penalizing those using AI-enhanced editing tools. Additionally, companies such as Adobe face calls to warn users about potential tagging implications when employing certain AI features across different services.

Meta’s shift from “Made with AI” to “AI info” reflects efforts to enhance transparency and manage user expectations regarding AI’s involvement in photo editing. The move underscores ongoing challenges in accurately labeling digitally altered content while promoting collaboration across the tech industry to refine these practices further.

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