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Andrew Selbst
Andrew Selbst
UCLA School of Law
Verified email at law.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Big Data's Disparate Impact
S Barocas, AD Selbst
California Law Review 104 (3), 671-732, 2016
50742016
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
12312018
The Intuitive Appeal of Explainable Machines
AD Selbst, S Barocas
Fordham Law Review 87, 1085-1139, 2018
7212018
Meaningful Information and the Right to Explanation’(2017)
AD Selbst, J Powles
International Data Privacy Law 7, 233, 0
690*
Disparate Impact in Big Data Policing
AD Selbst
Georgia Law Review 52, 109-195, 2017
4792017
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
2682020
The fallacy of AI functionality
ID Raji, IE Kumar, A Horowitz, A Selbst
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
2282022
Negligence and AI's Human Users
AD Selbst
Boston University Law Review 100, 1315-1376, 2020
1872020
An Institutional View of Algorithmic Impact Assessments
AD Selbst
Harvard Journal of Law & Technology 35 (1), 2021
1172021
Contextual Expectations of Privacy
AD Selbst
Cardozo Law Review 35, 643-709, 2013
622013
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
372023
A Mild Defense of Our New Machine Overlords
AD Selbst
Vanderbilt Law Review En Banc 70, 87-104, 2017
142017
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
52010
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
42005
Founded 1852
SI Agencies
University of Pennsylvania Law Review 171 (4), 2023
2023
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