- PhD researcher, Computer Science, Princeton University12
Sayash Kapoor is a computer science PhD researcher at Princeton University working with Arvind Narayanan on AI evaluation, reproducibility, and hype. He is co-author of the 2024 book AI Snake Oil, which distinguishes useful AI from oversold predictive systems.123
At a glance
- Current role
- PhD researcher, Computer Science
- Company
- Princeton University
- Fields
- Evaluation, Safety and alignment
- Work listed
- 1
- Sources cited
- 3
- Profile reviewed
Accomplishments
AI Snake Oil and research
With Arvind Narayanan, Kapoor wrote AI Snake Oil (Princeton University Press, 2024), arguing that much predictive AI for high-stakes decisions lacks evidence while generative AI can be useful infrastructure. His site and Princeton coverage document related work on evaluation and reproducibility.12
Work and contributions
Timeline
- AI Snake Oil published by Princeton University Press.2
Where they work
- Princeton University 12 people in the wiki
Related people
- Arvind NarayananAlso at Princeton University
- John YangAlso at Princeton University
- Kilian LieretAlso at Princeton University
- Peter HendersonAlso at Princeton University
- Sanjeev AroraAlso at Princeton University
- Kai FronsdalSafety and alignment · Evaluation and benchmarks
- David StutzSafety and alignment · Evaluation and benchmarks
- Rumman ChowdhuryEvaluation · Safety and alignment
- Eric Michael SmithSafety and alignment · Evaluation and benchmarks
- Hjalmar WijkEvaluation and benchmarks · Safety and alignment
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References
3 sources · profile reviewed Oct 23, 2026 · data updated Oct 23, 2026