Arvind Narayanan
Princeton University
H-index: 58
North America-United States
Top articles of Arvind Narayanan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Against predictive optimization: On the legitimacy of decision-making algorithms that optimize predictive accuracy | ACM Journal on Responsible Computing | Angelina Wang Sayash Kapoor Solon Barocas Arvind Narayanan | 2023 |
A safe harbor for ai evaluation and red teaming | arXiv preprint arXiv:2403.04893 | Shayne Longpre Sayash Kapoor Kevin Klyman Ashwin Ramaswami Rishi Bommasani | 2024/3/7 |
On the Societal Impact of Open Foundation Models | Sayash Kapoor Rishi Bommasani Kevin Klyman Shayne Longpre Ashwin Ramaswami | 2024/2/27 | |
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference | Arvind Narayanan Sayash Kapoor | 2024/9/24 | |
Foundation Model Transparency Reports | arXiv preprint arXiv:2402.16268 | Rishi Bommasani Kevin Klyman Shayne Longpre Betty Xiong Sayash Kapoor | 2024/2/26 |
Promises and pitfalls of artificial intelligence for legal applications | arXiv preprint arXiv:2402.01656 | Sayash Kapoor Peter Henderson Arvind Narayanan | 2024/1/10 |
REFORMS: Consensus-based Recommendations for Machine-learning-based Science | Science Advances | Sayash Kapoor Emily Cantrell Kenny Peng Than Hien Pham Christopher A Bail | 2024/3/25 |
Fairness and Machine Learning: Limitations and Opportunities | Solon Barocas Moritz Hardt Arvind Narayanan | 2023/11/28 | |
Leakage and the reproducibility crisis in machine-learning-based science | Patterns | Sayash Kapoor Arvind Narayanan | 2023/9/8 |
Reforms: Reporting standards for machine learning based science | arXiv preprint arXiv:2308.07832 | Sayash Kapoor Emily Cantrell Kenny Peng Thanh Hien Pham Christopher A Bail | 2023/8/15 |
The limitations of machine learning models for predicting scientific replicability | Proceedings of the National Academy of Sciences | MJ Crockett Xuechunzi Bai Sayash Kapoor Lisa Messeri Arvind Narayanan | 2023/8/15 |
Security policy audits: why and how | IEEE Security & Privacy | Arvind Narayanan Kevin Lee | 2023/4/14 |
Understanding Social Media Recommendation Algorithms | Knight First Amendment Institute | Arvind Narayanan | 2023 |
Password policies of most top websites fail to follow best practices | Kevin Lee Sten Sjöberg Arvind Narayanan | 2022 | |
The limits of the quantitative approach to discrimination | James Baldwin lecture [transcript], Princeton University | Arvind Narayanan | 2022/10/11 |
REVISE: A tool for measuring and mitigating bias in visual datasets | International Journal of Computer Vision | Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim | 2022/7 |
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok | Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society | Orestis Papakyriakopoulos Christelle Tessono Arvind Narayanan Mihir Kshirsagar | 2022/6/9 |
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning | Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan | 2022/7/26 | |
Resurrecting Address Clustering in Bitcoin | Malte Möser Arvind Narayanan | 2022/10/22 | |
Mitigating dataset harms requires stewardship: Lessons from 1000 papers | arXiv preprint arXiv:2108.02922 | Kenny Peng Arunesh Mathur Arvind Narayanan | 2021/8/6 |
Co-Authors
