← Explore

TAG

#auditing

Stories connected through a shared idea, actor, technology or theme.

Anthropic gives METR employee-like access to evaluate frontier AI risksSix METR employees received company hardware, office space and access to internal tools and systems broadly comparable to Anthropic’s own risk-assessment teams. Anthropic says METR will be able to publish risk assessments without prior approval under the highest planned evaluator-access tier.→OpenAI publishes principles for independent model safety assessmentsThe proposed assessments cover safety cases, safeguards, capability thresholds and misalignment incidents. OpenAI says evaluators should have access proportionate to their claims, disclose methods and retain editorial independence, while the company may request sensitive redactions.→Microsoft agent-learning 0.9.0 adds reproducible policy replay with input lineageagent-learning 0.9.0 adds policy audit and replay with consumed-input lineage. The release records which inputs contributed to a policy execution so the run can be reproduced and examined later.→Google DeepMind pilots double-blind evaluations for proprietary modelsGoogle DeepMind announced a pilot of double-blind evaluations for a proprietary frontier model, running Gemini Flash Lite against confidential benchmarks in Google Cloud Confidential Space. Google says cryptographic separation keeps model weights private from evaluators and test prompts private from Google, with the Singapore AI Safety Institute, OpenMined, AVERI and MLCommons participating.→