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Researcher

Julian Michael

JM

AI Safety, Evaluation and Alignment at Meta

Michael studies scalable oversight: ways for people to supervise AI systems on tasks too difficult to check directly. His work uses debate and demanding benchmarks such as GPQA to test whether models can be evaluated reliably.

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Background

Current role
AI Safety, Evaluation and Alignment
Previously
Head of Safety, Evaluations and Alignment Lab,
About this data

Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.

Last editorial review: August 12, 2026

Citation Trend

2 snapshots
Citation history from Aug 25, '25 to Jun 15, '2622,04718,88015,713Aug 25, '25Jun 15, '26
22,047citations as of Jun 15, '26+6,334 since Aug 25, '25
For today’s citation count and citations per paper, visit Google Scholar.