Meta made its own AI detection system. It should have just used Google’s
IIn March, Meta's Oversight Board called on the company to "meet its public commitments and employ its own tools" to help quell the spread of deceptive generative AI content across platforms. Meta responded in July by introducing Content Seal - an invisible watermarking technology that flags images generated by the company's new AI model.
Reported by 1 outlet — The Verge. See all sources ↓
IIn March, Meta's Oversight Board called on the company to "meet its public commitments and employ its own tools" to help quell the spread of deceptive generative AI content across platforms. Meta responded in July by introducing Content Seal - 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.
Read the full report at The Verge ↗
Why it matters
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- What's the story?
- IIn March, Meta's Oversight Board called on the company to "meet its public commitments and employ its own tools" to help quell the spread of deceptive generative AI content across platforms. Meta responded in July by introducing Content Seal - an invisible watermarking technology that flags images generated by the company's new AI model.
- How widely is it covered?
- 1 outlet, average source rating 6.0/10.
- When was it last updated?
- 11m ago.
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Meta made its own AI detection system. It should have just used Google’s
Sources1TypeCoverageThe Verge