Meta Changes ‘Made with AI’ Label to ‘AI Info’ to Clarify Use of AI in Photos

In response to user feedback and confusion surrounding the application of AI labels on photos, Meta has decided to rebrand its tagging system from “Made with AI” to “AI info” across all its platforms. The shift aims to better communicate that photos labeled with AI info may not necessarily be entirely AI-generated but could involve AI-powered editing tools.

The controversy arose after photographers expressed dissatisfaction with Meta’s previous “Made with AI” label, which sometimes inaccurately applied to photos that had undergone basic editing using AI-enhanced tools. In a recent update, Meta acknowledged that the earlier label failed to clearly distinguish between photos created solely by AI and those modified with AI tools.

“We’ve found that our labels based on these indicators weren’t always aligned with people’s expectations and didn’t always provide enough context,” Meta explained in an updated blog post. The company clarified that while the underlying technology for detecting AI usage in photos remains unchanged, the new “AI info” tag aims to mitigate confusion by indicating any AI involvement in the creation or modification of an image.

Meta continues to rely on technical metadata standards such as C2PA and IPTC to detect and label AI-assisted content. This means that photos edited using tools like Adobe’s Generative AI Fill may still receive the AI info tag. However, Meta hopes the revised label will improve transparency and better manage user expectations about the role of AI in photo creation.

Despite the update, challenges remain. Completely AI-generated photos may still go undetected, and users won’t necessarily know the extent of AI-powered editing done on an image. Meta acknowledges the need for ongoing industry collaboration to refine guidelines and ensure fairness to photographers using AI tools for image enhancement.

In a statement to TechCrunch, Meta spokesperson Kate McLaughlin emphasized, “AI info can encompass content that was made and/or modified with AI, aligning more closely with people’s expectations.” The company looks forward to collaborating with industry peers to enhance the labeling process and provide clearer information to users about AI involvement in digital content.

As the digital landscape evolves, social networks like Meta and technology providers such as Adobe face the ongoing challenge of balancing transparency with the accurate representation of AI-assisted content, ensuring users are informed while respecting the creative processes of photographers and content creators.