AI & agents
Anthropic shares guidance for building strong safety evaluations
- Published
- Source
- Anthropic Research
Summary
Anthropic published recommendations for building trustworthy AI safety evaluations. Drawing on reforms from psychology's replication crisis, it recommends preregistration, construct validity, and human validation of automated grading. It also describes sandboxing evaluation environments and pausing or hardening internet-enabled evals after its own incidents. The post is grounded in the company's system-card practice.
Why it matters for our work
It offers a lens for judging how much to trust any claim that a model is safer. Useful reading for teams that commission or review AI evaluations in adoption and research work.
Translated from the Korean original. Summaries may be translated and edited. Commentary reflects our perspective; forecasts remain the source’s views.