New Paper Maps Open Questions and Best Practices for AI Agent Evaluation
sayashk · x · 2026-10-20
A new paper led by @flxcn with Sayash Kapoor lays out a concrete agenda for AI agent evaluation in three parts: evaluation science and methods (validity, contamination, LLM judges, red-teaming, human baselines), an expanded research agenda (simulated users, field experiments, dangerous capabilities, systemic evaluation), and the evaluator ecosystem (independence, funding, public sector). Each trend closes with best practices and recommendations for evaluators, AI companies, and policymakers.
Related event: New paper lays out open problems and best practices for AI agent evaluation(3 posts)→
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