Anthropic Publishes Recommendations for Building AI Safety Evaluations
Start here
Anthropic published recommendations for building AI safety evaluations, drawing on reforms from psychology's replication crisis and its own experience producing evals for system cards. The company says safety evals are easy to game and often fail to measure what they claim. Its guidance calls on teams to combine multiple methods and involve domain experts, run evaluations in sandboxed environments, and match observational or causal study designs to the question being asked. These are Anthropic's stated recommendations, not demonstrated results.
Generated from reports · updated 1 h ago
Report timeline
Follow the reports to see the event from different sides.
- Anthropic ResearchBuilding strong safety evaluations: Anthropic's recommendations for AI safety evals
Anthropic published recommendations for building AI safety evaluations, drawing on reforms from psychology's replication crisis and its own experience building evals for system cards. The post argues safety evals are easy to game and often fail to measure what they claim, urging teams to combine methods and domain experts, run evals in sandboxed environments, and match observational or causal designs to the question asked.
Heat for this event
Not enough continuous observations yet to draw a trend.