Researcher proposes open eval cards and public benchmark repository to fix AI evaluation trust
evijit · x · 2026-09-19
Arguing that the core problem with AI evaluators is lack of openness rather than individual org integrity, the author proposes: a live central repository of evaluations with metadata signals (Eval Cards); standards for independent evaluation conditions and reporting schemas; automated checks for benchmark data flaws and saturation (Epoch AI, Evaluating Evals); an AI Flaw/Incident reporting system (FLARE-AI) with public accountability; and borrowing audit standards from other industries.
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