| Big Data's Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016 | 3628 | 2016 |
| Fairness and Abstraction in Sociotechnical Systems AD Selbst, danah boyd, S Friedler, S Venkatasubramanian, J Vertesi ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2018 | 661 | 2018 |
| The Intuitive Appeal of Explainable Machines AD Selbst, S Barocas Fordham Law Review 87, 1085-1139, 2018 | 483 | 2018 |
| “Meaningful information” and the right to explanation A Selbst, J Powles conference on fairness, accountability and transparency, 48-48, 2018 | 448 | 2018 |
| Disparate Impact in Big Data Policing AD Selbst Georgia Law Review 52, 109-195, 2017 | 381 | 2017 |
| The hidden assumptions behind counterfactual explanations and principal reasons S Barocas, AD Selbst, M Raghavan Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 174 | 2020 |
| Negligence and AI's Human Users AD Selbst Boston University Law Review 100, 1315-1376, 2020 | 105 | 2020 |
| Contextual Expectations of Privacy AD Selbst Cardozo Law Review 35, 643-709, 2013 | 56 | 2013 |
| An Institutional View of Algorithmic Impact Assessments AD Selbst Harvard Journal of Law & Technology 35 (1), 2021 | 42 | 2021 |
| The fallacy of AI functionality ID Raji, IE Kumar, A Horowitz, A Selbst 2022 ACM Conference on Fairness, Accountability, and Transparency, 959-972, 2022 | 38 | 2022 |
| A Mild Defense of Our New Machine Overlords AD Selbst Vanderbilt Law Review En Banc 70, 87-104, 2017 | 11 | 2017 |
| The Journalism Ratings Board: An Incentive-Based Approach to Cable News Accountability A Selbst U. Mich. JL Reform 44, 467, 2010 | 5 | 2010 |
| Clock division as a power saving strategy in a system constrained by high transmission frequency and low data rate AD Selbst Massachusetts Institute of Technology, 2005 | 4 | 2005 |
| Unfair Artificial Intelligence: How FTC Intervention Can Overcome the Limitations of Discrimination Law AD Selbst, S Barocas UCLA School of Law, Public Law Research Paper, 2022 | 2 | 2022 |
| The Legal Construction of Black Boxes AD Selbst, S Venkatasubramanian, IE Kumar We Robot, 2021 | 2 | 2021 |
| Excerpt from Big Data's Disparate Impact S Barocas, AD Selbst Ethics of Data and Analytics, 303-318, 2022 | 1 | 2022 |
| HARVARD JOURNAL OF LAW & TECHNOLOGY D Karshtedt, MA Lemley, SB Seymore, AD Selbst, CYN Smith | | |
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Assistant Professor, Information Science, CornellVerified email at cornell.edu
