Meta made its own AI detection system. It should have just used Google’s

Meta launched Content Seal, an invisible watermarking system for AI-generated images, in July 2024, but the technology is less robust than existing solutions like Google's C2PA Content Credentials, according to The Verge's Jess Weatherbed. The Oversight Board had urged Meta in March to deploy its own AI detection tools to curb deceptive generative AI content.

Meta made its own AI detection system. It should have just used Google’s By Jess WeatherbedSource: The Verge AI https://www.theverge.com IIn March, Meta's Oversight Board called on the company https://www.oversightboard.com/news/board-calls-for-new-rules-on-deceptive-ai-during-conflicts/ to "meet its public commitments and employ its own tools" to help quell the spread of deceptive generative AI /glossary/generative-ai content across platforms. Meta responded in July by introducing Content Seal https://ai.meta.com/blog/introducing-muse-image-muse-video-msl/ - an invisible watermarking technology that flags images generated by the company's new AI model. But it was basically a footnote buried in the company's announcement for its Muse image and video generation tools. As someone who spends a lot of time scrutinizing AI labeling systems, Content Seal doesn't fill me with confidence. There are already more established solutions, like C2PA Content Credentials … https://www.theverge.com/ai-artificial-intelligence/934521/google-synthid-c2pa-content-credentials-ai-labelling-efforts Get AI news in your inbox Daily digest of what matters in AI.