| Embedded EthiCS: integrating ethics across CS education BJ Grosz, DG Grant, K Vredenburgh, J Behrends, L Hu, A Simmons, ... Communications of the ACM 62 (8), 54-61, 2019 | 280 | 2019 |
| The disparate effects of strategic manipulation L Hu, N Immorlica, JW Vaughan Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 199 | 2019 |
| A short-term intervention for long-term fairness in the labor market L Hu, Y Chen World Wide Web Conference 2018, 2017 | 191* | 2017 |
| Fair classification and social welfare L Hu, Y Chen Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 146* | 2020 |
| What's Sex Got To Do With Fair Machine Learning? L Hu, I Kohler-Hausmann arXiv preprint arXiv:2006.01770, 2020 | 130 | 2020 |
| The myth in the methodology: Towards a recontextualization of fairness in machine learning B Green, L Hu Proceedings of the machine learning: the debates workshop 895, 2018 | 130 | 2018 |
| What is “race” in algorithmic discrimination on the basis of race? L Hu Journal of Moral Philosophy 21 (1-2), 1-26, 2023 | 29 | 2023 |
| Tech ethics: speaking ethics to power, or power speaking ethics? L Hu Journal of Social Computing 2 (3), 238-248, 2021 | 20 | 2021 |
| Embedded ethics: Integrating ethics broadly across computer science education BJ Grosz, DG Grant, K Vredenburgh, J Behrends, L Hu, A Simmons, ... arXiv preprint arXiv:1808.05686, 2018 | 14 | 2018 |
| The technological politics of mechanism design Z Hitzig, L Hu, S Viljoen University of Chicago Law Review 87 (1), 2019 | 11 | 2019 |
| Justice beyond utility in artificial intelligence L Hu Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 368-369, 2018 | 8 | 2018 |
| Activating the" Breakfast Club": Modeling Influence Spread in Natural-World Social Networks L Hu, B Wilder, A Yadav, E Rice, M Tambe arXiv preprint arXiv:1710.00364, 2017 | 3 | 2017 |
| Normative Facts and Causal Structure L Hu J. of Philosophy, 2024 | 2 | 2024 |
| What Is Perceived When Race Is Perceived and Why It Matters for Causal Inference and Discrimination Studies L Hu, I Kohler-Hausmann Law & Society Review, 1-26, 2024 | 1 | 2024 |
| Causation in the Social World L Hu Harvard University, 2022 | 1 | 2022 |
| Does calibration mean what they say it means; or, the reference class problem rises again L Hu arXiv preprint arXiv:2412.16769, 2024 | | 2024 |
| Special Issue on New Perspectives on Empirical Methods and Critical Race Theory What Is Perceived When Race Is Perceived and Why It Matters for Causal Inference and … I Kohler-Hausmann, L Hu Available at SSRN 5095711, 2024 | | 2024 |
| Dynamics of Algorithmic Fairness L Hu Harvard University, 2022 | | 2022 |