| Big Data's Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016 | 4832 | 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 | 1135 | 2018 |
| The Intuitive Appeal of Explainable Machines AD Selbst, S Barocas Fordham Law Review 87, 1085-1139, 2018 | 681 | 2018 |
| Meaningful Information and the Right to Explanation’(2017) AD Selbst, J Powles International Data Privacy Law 7, 233, 0 | 654* | |
| Disparate Impact in Big Data Policing AD Selbst Georgia Law Review 52, 109-195, 2017 | 467 | 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 | 254 | 2020 |
| The fallacy of AI functionality ID Raji, IE Kumar, A Horowitz, A Selbst Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 188 | 2022 |
| Negligence and AI's Human Users AD Selbst Boston University Law Review 100, 1315-1376, 2020 | 176 | 2020 |
| An Institutional View of Algorithmic Impact Assessments AD Selbst Harvard Journal of Law & Technology 35 (1), 2021 | 103 | 2021 |
| Contextual Expectations of Privacy AD Selbst Cardozo Law Review 35, 643-709, 2013 | 63 | 2013 |
| Unfair Artificial Intelligence: How FTC Intervention Can Overcome the Limitations of Discrimination Law AD Selbst, S Barocas University of Pennsylvania Law Review 171, 1023-1093, 2023 | 28 | 2023 |
| A Mild Defense of Our New Machine Overlords AD Selbst Vanderbilt Law Review En Banc 70, 87-104, 2017 | 14 | 2017 |
| Deconstructing design decisions: Why courts must interrogate machine learning and other technologies AD Selbst, S Venkatasubramanian, IE Kumar Ohio State Law Journal, 23-22, 2024 | 6* | 2024 |
| 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 |
| G. Literaturverzeichnis G Akerlof, C Alexander, M Armstrong, A Arnold, S Herrler, Y Bakos, ... Management Science 43, 1676-1692, 1997 | | 1997 |
| Angwin, Julia ua: Machine Bias. There’s software used across the country to predict future criminals. And it’s biased against blacks, ProPublica 2016, abrufbar unter:< www … W Aspray, S Barocas, AD Selbst, AM Barry-Jester, B Casselman, ... | | |
| LAW & TECHNOLOGY D Karshtedt, MA Lemley, SB Seymore, AD Selbst, CYN Smith | | |
| HARVARD JOURNAL OF LAW & TECHNOLOGY D Karshtedt, MA Lemley, SB Seymore, AD Selbst, CYN Smith | | |
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Associate Professor, Information Science, CornellDirección de correo verificada de cornell.edu
