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Home News Google Photos Introduces AI Edit Labels to Boost Image Transparency
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Google Photos Introduces AI Edit Labels to Boost Image Transparency

By
Vaishali Singh
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October 25, 2024
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    Google Photos
    Google Photos

    Google Photos recently introduced a new feature that adds labels to images edited using artificial intelligence tools. This feature aims to increase transparency by allowing users to know when and how an image has been altered using AI. 

    The Mountain View-based company has decided to include this information directly within the metadata of edited photos, helping viewers easily determine if an image was edited with synthetic methods. 

    This latest enhancement also applies to images combined from multiple shots through non-generative tools, such as Pixel’s Best Take or Add Me features, making it more accessible for anyone to track edits.

    Google Photos Brings AI Labeling to Image Metadata

    In a blog post, Google highlighted that these new AI-based labels will only be added to photos edited within Google Photos using its own AI tools, such as Magic Editor and Magic Eraser. The labels will identify edited photos to ensure transparency for viewers, though it remains unclear whether Google Photos will also label images edited using third-party AI software.

    A unique aspect of this update is that metadata labels added through it will remain even if the image is cropped or altered in other ways. Should someone take a screenshot of the labeled image, the label will not persist, as the new screenshot will generate fresh Exchangeable Image File Format metadata without the original AI editing information.

    How Google Photos Adds Transparency with Metadata Labels

    This new transparency approach by it complies with standards set by the International Press Telecommunications Council to incorporate AI information into metadata. Unlike the C2PA standards used by platforms like Meta and OpenAI, IPTC standards are widely recognized in digital media and journalism for metadata.

    Along with adding AI information to metadata, Google Photos will make this data visible in the Photos app itself. By accessing the file information within the app, users can scroll to a section called “AI Info” at the bottom of the file details page. This section will reveal details on the specific AI tool used, whether it’s Magic Eraser, Magic Editor, or any other in-app AI tool, and indicate the “Digital Source Type” to clarify whether generative AI or another method was used to edit the image.

    Enhancing Image Transparency with Pixel-Specific Features

    In addition to images edited using generative AI tools, Google Photos will label images modified by Pixel-exclusive editing tools such as Best Take and Add Me. Best Take allows users to blend elements from different images to create an ideal shot, while Add Me lets users add missing people into group photos from other shots. Despite not using generative AI, these features still combine elements from multiple photos to achieve the final image.

    For example, suppose a user applies the Best Take tool to merge smiling faces from different shots into one photo. This edited image will carry a label within Google Photos indicating that it was enhanced without generative AI. This helps set a clear distinction, ensuring transparency while respecting non-generative edits.

    Google Photos’ Approach to AI Transparency

    It has introduced AI labels to edited images, enhancing transparency and authenticity. These labels are placed in metadata and app file details, making AI-based edit information accessible, easy to verify, and persistent across platforms. Although limited to Google Photos, this could signal a broader trend in digital media towards clear, reliable labeling of AI-altered content.

    As AI editing tools become more integrated into digital photography, Google’s new labels in Google Photos highlight the importance of transparency and authenticity in visual media. By providing users with clear metadata about AI-enhanced edits, Google Photos continues to build trust and transparency in its digital ecosystem, empowering users with knowledge about the origins and alterations of the photos they encounter.

    • TAGS
    • AI Editing Tools
    • AI Labels
    • Google Photos
    • Image Metadata
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      Vaishali Singh
      Vaishali Singh
      https://techadvisorpro.com/

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