METR Blog
Review of the "Risks from automated R&D" section in the Anthropic Risk Report (February 2026)
External review from METR of the "Risks from automated R&D" section in Anthropic's February 2026 Risk Report
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Safety Evals
Safety evaluations, red teaming, preparedness, and model risk testing.
MLCommons Evaluation Filter
Fresh Benchmarks, Reliable Scores: Introducing Continuous Prompt Stewardship for AI Risk Evaluation - MLCommons
MLCommons introduces Continuous Prompt Stewardship to keep the AILuminate AI safety benchmark fresh and reliable as frontier models evolve.
Google DeepMind Evaluation Filter
Protecting People from Harmful Manipulation
Google DeepMind releases new findings and an evaluation framework to measure AI's potential for harmful manipulation in areas like finance and health, with the goal of enhancing AI safety.
MLCommons Evaluation Filter
Global Standards, Local Ground Truths: Piloting Multilingual, Multimodal AI Safety Understanding in APAC - MLCommons
MLCommons is developing the AILuminate Culturally-Specific Multimodal Benchmark to close the AI performance and representation gap across APAC cultures, languages, and real-world use cases.
METR Blog
Review of the Anthropic Sabotage Risk Report: Claude Opus 4.6
External review from METR of Anthropic's Sabotage Risk Report for Claude Opus 4.6
METR Blog
Five lessons from having helped run an AI-Biology RCT
Luca Righetti shares takeaways on the role of randomized controlled trials in AI safety testing.
METR Blog
Frontier AI safety regulations: A reference for lab staff
Miles Kodama and Michael Chen summarize key provisions from California's SB 53, the EU Code of Practice, and New York's RAISE Act covering frontier AI developers.
OpenAI Evaluation Filter
Updating our Model Spec with teen protections
OpenAI is updating its Model Spec with new Under-18 Principles that define how ChatGPT should support teens with safe, age-appropriate guidance grounded in developmental science. The update strengthens guardrails, clarifies expected model behavior in...
Google DeepMind Evaluation Filter
Gemma Scope 2: Helping the AI Safety Community Deepen Understanding of Complex Language Model Behavior
Announcing Gemma Scope 2, a comprehensive, open suite of interpretability tools for the entire Gemma 3 family to accelerate AI safety research.
Google DeepMind Evaluation Filter
Deepening AI Safety Research with UK AI Security Institute (AISI)
Google DeepMind and the UK AI Security Institute (AISI) strengthen collaboration through a new research partnership, focusing on critical safety research areas like monitoring AI reasoning and evalua…
METR Blog
Common Elements of Frontier AI Safety Policies (December 2025 Update)
Shared components of AI lab commitments to evaluate and mitigate severe risks.
METR Blog
Review of the Anthropic Summer 2025 Pilot Sabotage Risk Report
External review from METR of Anthropic's Summer 2025 Sabotage Risk Report