GoKawiilAnthropic, OpenAI pledge to embed independent safety evaluators inside AI labs
Anthropic CEO Dario Amodei proposed letting third-party evaluators like METR and Redwood Research operate inside frontier AI companies with deep access to systems and training data, not just finished models. OpenAI's Sam Altman said his company would adopt a similar approach. Evaluators welcomed the idea but say specifics—and possibly legislation—are needed to ensure genuine independence rather than vendor-style arrangements.
GoKawiil's interpretation of the reporting above, not reported fact.
As AI models grow skilled at detecting when they're being tested, surface-level evaluations risk missing deceptive or unsafe behavior that only shows up during training. Embedding evaluators with deeper access could catch such issues early, but without enforceable independence guarantees, the practice could become another self-regulation exercise controlled by the companies being evaluated.
- Anthropic and OpenAI both signaled openness to embedding outside safety evaluators with deep system access.
- Evaluators want legal backing to ensure true independence rather than being treated as vendors.
- Testing finished models alone may miss deceptive behavior; monitoring training processes is seen as more revealing.
Source: techcrunch.com — Rebecca Bellan, 2026-09-16
Published there as: “Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?”
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