NYU Research: Rare AI Failures Escape Safety Tests With 10-20x Fewer Samples
thegautamkamath · x · 2026-10-28
NYU CDS postdoc Rico Angell and colleagues show that rare AI failure modes can slip past standard safety testing. Their method estimates the likelihood of such failures with 10–20x fewer samples in tested settings, with practical implications for safety evaluation methodology.
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