AI Audits Challenge Saez–Zucman

Updated: 2026.10.28 19H ago 1 sources
Two independent AI auditors rechecked Saez and Zucman’s papers (and replication files) across dozens of studies and report hundreds of errors, including dozens the auditors judge large enough to materially change headline numbers. If confirmed, these findings would force a reassessment of influential inequality estimates and the policy prescriptions that rely on them. — Shows AI can systematically re‑evaluate high‑stakes academic claims, shifting authority in public policy debates and potentially overturning widely cited empirical results.

Sources

Errors in the research of Emmanuel Saez and Gabriel Zucman
Tyler Cowen 2026.10.28 100% relevant
The article reports an AI audit of 138 papers yielding '2,035 problems' and '147' serious errors, performed independently by Claude Opus 5.5 and OpenAI’s GPT‑6 Astra and adjudicated thereafter.
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