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Adobe wants to create a robots.txt styled indicator for images used in AItraining
Adobe is developing a robots.txt-like standard for image use in AI training, allowing creators to attach content credentials to their images. This tool aims to give creators control over their images but faces challenges in ensuring AI companies adhere to the standard. The initiative responds to creator demand for better representation and control amid ongoing copyright and AI training data debates.
Key points
- Adobe introduces a new tool for attaching content credentials to images, similar to robots.txt for web crawlers.
- The content credentials app allows users to indicate that specific images should not be used for AI model training.
- Users can attach their verified LinkedIn, Instagram, or X profiles to images to authenticate ownership.
- The challenge lies in convincing AI companies to respect the new standard, as existing AI crawlers often ignore robots.txt directives.
- Adobe is in discussions with major AI model developers to adopt the standard.
- The initiative resonates with creators' calls for more control over how their works are used, especially with ongoing concerns about AI and copyright.
Why it matters
- This initiative occurs against the backdrop of wider discussions about AI's impact on creative industries and content ownership.
- Similar to Meta's experience with auto-tagging images, which led to creator backlash, highlighting the need for clear ownership signals.
- The move reflects a growing trend in 2025 toward enhanced creator rights and digital content management through technology.
Adobe's efforts to establish a content credentials standard showcase a proactive step in addressing creator concerns about AI training data, but success hinges on the industry's willingness to adopt and respect these new practices.