Hugging Face seeks entry to Anthropic's embedded AI safety reviewer program

Hugging Face seeks entry to Anthropic's embedded AI safety reviewer program

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News Editor
2026-09-13 01:57:15
Hugging Face CEO Clement Delangue said the company has launched the Open Alignment Initiative, led by co-founder Thomas Wolf, and has publicly applied to join Anthropic's newly proposed "embedded evaluator" program. If accepted, Hugging Face reviewers would be able to work on-site for an extended period and receive access close to that of employees, allowing them to directly inspect model training processes and safety measures. Delangue said AI alignment should not remain confined to a small number of frontier labs and that more outside researchers need to be involved. Anthropic has already said it will open this kind of access to third parties, including desks, badge access, company computers, and tools close to those used by its internal risk team. The company would also allow outside evaluators to publish their findings independently. The move puts a spotlight on how major AI labs may handle external oversight and model safety review.

Hugging Face CEO Clement Delangue said the company has created the Open Alignment Initiative and has publicly applied to join Anthropic's newly proposed "embedded evaluator" program. The effort is being led by Hugging Face co-founder Thomas Wolf.

Bid for long-term, on-site AI safety review

If the application is approved, Hugging Face evaluators would be able to stay on site for an extended period and receive access close to employee level, giving them a way to directly examine model training and safety measures.

Anthropic says third parties would get internal access

Delangue said AI alignment should no longer be handled only inside a small group of frontier labs and that more external researchers should take part. Anthropic has said it would grant third-party evaluators access that includes desks, badge access, company computers, and tools close to those used by its internal risk team. It would also let the evaluators publish their conclusions independently.

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