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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
32942016
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
5662018
The Intuitive Appeal of Explainable Machines
AD Selbst, S Barocas
Fordham Law Review 87, 1085-1139, 2018
4552018
“Meaningful Information” and the Right to Explanation
A Selbst, J Powles
Conference on Fairness, Accountability and Transparency, 48-48, 2018
3882018
Disparate Impact in Big Data Policing
AD Selbst
Georgia Law Review 52, 109-195, 2017
3562017
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
1402020
Negligence and AI's Human Users
AD Selbst
Boston University Law Review 100, 1315-1376, 2020
872020
Contextual Expectations of Privacy
AD Selbst
Cardozo Law Review 35, 643-709, 2013
562013
An Institutional View of Algorithmic Impact Assessments
AD Selbst
Harvard Journal of Law & Technology 35 (1), 2021
202021
A Mild Defense of Our New Machine Overlords
AD Selbst
Vanderbilt Law Review En Banc 70, 87-104, 2017
112017
The fallacy of AI functionality
ID Raji, IE Kumar, A Horowitz, A Selbst
2022 ACM Conference on Fairness, Accountability, and Transparency, 959-972, 2022
92022
The Journalism Ratings Board: An Incentive-Based Approach to Cable News Accountability
A Selbst
U. Mich. JL Reform 44, 467, 2010
42010
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
The Legal Construction of Black Boxes
AD Selbst, S Venkatasubramanian, IE Kumar
We Robot, 2021
12021
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
2022
Excerpt from Big Data's Disparate Impact
S Barocas, AD Selbst
Ethics of Data and Analytics, 303-318, 2022
2022
HARVARD JOURNAL OF LAW & TECHNOLOGY
D Karshtedt, MA Lemley, SB Seymore, AD Selbst, CYN Smith
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