Meta Updates AI Labels on Photos to Address User Confusion and Feedback

Meta Updates AI Labels on Photos to Address User Confusion and Feedback

Meta Updates AI Labels on Photos to Address User Confusion and Feedback
Image credit: meta website 

After Meta introduced the "Made with AI" label in May, photographers reported that the label was being incorrectly applied to real photos that had undergone basic editing. In response to this feedback and the resulting confusion, Meta is changing the label to "AI Info" across all its apps to provide clearer information.

Meta acknowledged that the original label didn't clearly convey that images tagged might only have minor AI-powered edits rather than being fully AI-generated. The company stated, “Like others across the industry, 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."

The underlying technology for detecting AI use in photos remains unchanged. Meta still relies on technical metadata standards like C2PA and IPTC, which contain information about AI tool usage. Therefore, photos edited with tools such as Adobe’s Generative AI Fill might still receive the new label. However, Meta hopes the new "AI Info" label will help users understand that the tagged image may not be entirely AI-created.

Meta Updates AI Labels on Photos to Address User Confusion and Feedback
Image credit: Meta website 

Meta spokesperson Kate McLaughlin told TechCrunch that the "AI Info" label aims to better align with user expectations and provide more clarity about AI's role in content creation and modification. However, the new label won't completely address the issue of undetected fully AI-generated photos or indicate the extent of AI editing.

Moving forward, Meta and other social networks need to develop guidelines that balance transparency without unfairly targeting photographers who use AI tools for minor edits. Additionally, companies like Adobe should inform photographers that using certain tools might result in their images being tagged on other platforms.

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