Projects per year
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Collaborations and top research areas from the last five years
Projects
- 5 Finished
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CHS: Medium: Recognizing, Mitigating and Governing Bias in AI
Narayanan, A. (PI)
NSF - National Science Foundation
9/1/18 → 8/31/23
Project: Research project
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CHS: Large: Collaborative Research: Pervasive Data Ethics for Computational Research
Narayanan, A. (PI)
NSF - National Science Foundation
9/1/17 → 8/31/23
Project: Research project
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CAREER: Measurement, Analysis, and Novel Application of Blockchains
Narayanan, A. (PI)
NSF - National Science Foundation
2/15/17 → 1/31/22
Project: Research project
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TWC: Small: Ending the Web Privacy Arms Race: Threat Detection, Measurement and Response
Narayanan, A. (PI)
NSF - National Science Foundation
7/1/15 → 6/30/18
Project: Research project
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TWC: Small: Addressing the Challenges of Cryptocurrencies: Security, Anonymity, Stability
Narayanan, A. (PI)
NSF - National Science Foundation
7/1/14 → 6/30/18
Project: Research project
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What If Algorithmic Fairness Is a Category Error?1
Narayanan, A., Jan 1 2026, Contemporary Debates in the Ethics of Artificial Intelligence. wiley, p. 77-95 19 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
1 Link opens in a new tab Scopus citations -
Advancing science- and evidence-based AI policy
Bommasani, R., Arora, S., Chayes, J., Choi, Y., Cuéllar, M. F., Fei-Fei, L., Ho, D. E., Jurafsky, D., Koyejo, S., Lakkaraju, H., Narayanan, A., Nelson, A., Pierson, E., Pineau, J., Singer, S., Varoquaux, G., Venkatasubramanian, S., Stoica, I., Liang, P. & Song, D., Jul 31 2025, In: Science. 389, 6759, p. 459-461 3 p.Research output: Contribution to journal › Review article › peer-review
Open Access16 Link opens in a new tab Scopus citations -
AI Agents That Matter
Kapoor, S., Stroebl, B., Siegel, Z. S., Nadgir, N. & Narayanan, A., 2025, In: Transactions on Machine Learning Research. 2025-MayResearch output: Contribution to journal › Article › peer-review
10 Link opens in a new tab Scopus citations -
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
Narayanan, A. & Kapoor, S., Jan 1 2025, Princeton University Press. 366 p.Research output: Book/Report › Book
146 Link opens in a new tab Scopus citations -
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
Siegel, Z. S., Kapoor, S., Nadgir, N., Stroebl, B. & Narayanan, A., Jan 2025, In: Transactions on Machine Learning Research. 2025-January, p. 1-31 31 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations