Sayash Kapoor
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Leakage and the reproducibility crisis in machine-learning-based science
S Kapoor, A Narayanan
Patterns 4 (9), 2023
Controlling polarization in personalization: An algorithmic framework
LE Celis, S Kapoor, F Salehi, N Vishnoi
Proceedings of the conference on fairness, accountability, and transparency …, 2019
Corruption-tolerant bandit learning
S Kapoor, KK Patel, P Kar
Machine Learning, 1-29, 2019
The foundation model transparency index
R Bommasani, K Klyman, S Longpre, S Kapoor, N Maslej, B Xiong, ...
arXiv preprint arXiv:2310.12941, 2023
Against predictive optimization: On the legitimacy of decision-making algorithms that optimize predictive accuracy
A Wang, S Kapoor, S Barocas, A Narayanan
ACM Journal on Responsible Computing 1 (1), 1-45, 2024
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
J Hullman, S Kapoor, P Nanayakkara, A Gelman, A Narayanan
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 335-348, 2022
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, ...
Science Advances 10 (18), eadk3452, 2024
How to Prepare for the Deluge of Generative AI on Social Media
S Kapoor, A Narayanan
Knight First Amend. Inst. 23 (04), 2023
ChatGPT is a bullshit generator. But it can still be amazingly useful
A Narayanan, S Kapoor
AI Snake Oil 6, 2022
Quantifying chatgpt’s gender bias
S Kapoor, A Narayanan
URL https://www. aisnakeoil. com/p/quantifying-chatgpts-gender-bias, 2023
GPT-4 and professional benchmarks: the wrong answer to the wrong question
A Narayanan, S Kapoor
AI Snake Oil 20, 2023, 2023
Generative AI companies must publish transparency reports
A Narayanan, S Kapoor
Knight First Amend. Inst., 2023
A misleading open letter about sci-fi AI dangers ignores the real risks
S Kapoor, A Narayanan
AI Snake Oil 30, 2023
Is GPT-4 getting worse over time
A Narayanan, S Kapoor
AI Snake Oil, 2023
A dashboard for controlling polarization in personalization
LE Celis, S Kapoor, F Salehi, V Keswani, NK Vishnoi
Ai Communications 32 (1), 77-89, 2019
A Safe Harbor for AI Evaluation and Red Teaming
S Longpre, S Kapoor, K Klyman, A Ramaswami, R Bommasani, ...
arXiv preprint arXiv:2403.04893, 2024
OpenAI’s policies hinder reproducible research on language models
S Kapoor, A Narayanan
Substack, 2022
Eighteen Pitfalls to Beware of in AI Journalism
S Kapoor, A Narayanan
Substack newsletter. AI Snake Oil., 2022
Promises and pitfalls of artificial intelligence for legal applications
S Kapoor, P Henderson, A Narayanan
arXiv preprint arXiv:2402.01656, 2024
On the Societal Impact of Open Foundation Models
S Kapoor, R Bommasani, K Klyman, S Longpre, A Ramaswami, P Cihon, ...
Forty-first International Conference on Machine Learning, 2024
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