SCHOLARLY PAPERS

13

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SSRN CITATIONS
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Top 5,137

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321

CROSSREF CITATIONS

24

Scholarly Papers (13)

1.

Big Data's Disparate Impact

104 California Law Review 671 (2016)
Number of pages: 62 Posted: 11 Aug 2014 Last Revised: 30 Sep 2016
Solon Barocas and Andrew D. Selbst
Microsoft ResearchCornell University and UCLA School of Law
Downloads 25,375 (194)
Citation 163

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big data, data mining, algorithms, discrimination, employment discrimination, Title VII, civil rights, disparate treatment, disparate impact, procedural fairness, substantive fairness, inequality

2.

Fairness and Abstraction in Sociotechnical Systems

2019 ACM Conference on Fairness, Accountability, and Transparency (FAT*), 59-68
Number of pages: 17 Posted: 07 Nov 2018 Last Revised: 30 Jan 2020
UCLA School of Law, Microsoft Research, Haverford College, Brown University and Princeton University
Downloads 5,433 (2,919)
Citation 17

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Fairness-Aware Machine Learning, Sociotechnical Systems, Interdisciplinary

3.

The Intuitive Appeal of Explainable Machines

87 Fordham Law Review 1085 (2018)
Number of pages: 55 Posted: 02 Mar 2018 Last Revised: 06 Dec 2018
Andrew D. Selbst and Solon Barocas
UCLA School of Law and Microsoft ResearchCornell University
Downloads 3,919 (5,109)
Citation 89

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algorithmic accountability, explanations, law and technology, machine learning, big data, privacy, discrimination

4.

Negligence and AI's Human Users

100 Boston University Law Review 1315 (2020), UCLA School of Law, Public Law Research Paper No. 20-01
Number of pages: 63 Posted: 28 Jan 2020 Last Revised: 02 Oct 2020
Andrew D. Selbst
UCLA School of Law
Downloads 2,193 (13,007)

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tort, negligence, artificial intelligence, machine learning

5.

Disparate Impact in Big Data Policing

52 Georgia Law Review 109 (2017)
Number of pages: 87 Posted: 01 Oct 2016 Last Revised: 17 Apr 2018
Andrew D. Selbst
UCLA School of Law
Downloads 2,190 (13,024)
Citation 40

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Civil Rights, Disparate Impact, Discrimination, Big Data, Data Mining, Algorithms, Machine Learning, Policing, Predictive Policing, Fourth Amendment, Criminal Procedure, Administrative Law

6.

Meaningful Information and the Right to Explanation

International Data Privacy Law, vol. 7(4), 233-242 (2017)
Number of pages: 20 Posted: 30 Nov 2017 Last Revised: 20 Dec 2017
Andrew D. Selbst and Julia Powles
UCLA School of Law and UWA Law School
Downloads 1,829 (17,305)
Citation 33

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GDPR, explanations, right to explanation, algorithms, machine learning, law and technology, law, EU law

7.

An Institutional View Of Algorithmic Impact Assessments

35 Harvard Journal of Law & Technology 117 (2021), UCLA School of Law, Public Law Research Paper No. 21-25
Number of pages: 75 Posted: 24 Jun 2021 Last Revised: 20 Jan 2022
Andrew D. Selbst
UCLA School of Law
Downloads 1,423 (25,437)
Citation 6

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impact assessments, algorithmic impact assessments, law and technology, algorithms, legislation

8.

Unfair Artificial Intelligence: How FTC Intervention Can Overcome the Limitations of Discrimination Law

171 University of Pennsylvania Law Review 1023 (2023), UCLA School of Law, Public Law Research Paper No. 22-23
Number of pages: 72 Posted: 09 Aug 2022 Last Revised: 07 Sep 2023
Andrew D. Selbst and Solon Barocas
UCLA School of Law and Microsoft ResearchCornell University
Downloads 1,078 (38,080)
Citation 2

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AI, artificial intelligence, administrative law, FTC, discrimination

9.

Contextual Expectations of Privacy

35 Cardozo Law Review 643 (2013)
Number of pages: 67 Posted: 26 Jun 2012 Last Revised: 20 Dec 2013
Andrew D. Selbst
UCLA School of Law
Downloads 349 (158,553)
Citation 2

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privacy, Fourth Amendment, civil liberties, contextual integrity, criminal procedure, constitutional law, technology

10.

A Mild Defense of Our New Machine Overlords

70 Vanderbilt Law Review En Banc 87 (2017)
Number of pages: 18 Posted: 01 Apr 2017 Last Revised: 24 May 2017
Andrew D. Selbst
UCLA School of Law
Downloads 304 (183,657)
Citation 1

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machine learning, explanation, interpretability, privacy, policing, Fourth Amendment, law and technology, Big Data

11.

Deconstructing Design Decisions: Why Courts Must Interrogate Machine Learning and Other Technologies

85 Ohio State Law Journal __ (forthcoming 2024), UCLA School of Law, Public Law Research Paper No. 23-22
Number of pages: 62 Posted: 08 Sep 2023 Last Revised: 12 Sep 2023
UCLA School of Law, Brown University and Brown University, Students
Downloads 293 (191,014)
Citation 1

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Law & Technology, courts

12.

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons

ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2020
Number of pages: 17 Posted: 09 Jan 2020
Solon Barocas, Andrew D. Selbst and Manish Raghavan
Microsoft ResearchCornell University, UCLA School of Law and Massachusetts Institute of Technology (MIT)
Downloads 170 (319,915)

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interpretability, counterfactual explanation, principal reasons, accountability, autonomy

13.

The Journalism Ratings Board: An Incentive-Based Approach to Cable News Accountability

44 University of Michigan Journal of Law Reform 467 (2011)
Number of pages: 43 Posted: 16 Mar 2011 Last Revised: 10 Mar 2015
Andrew D. Selbst
UCLA School of Law
Downloads 105 (466,428)

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journalism, cable news, media, First Amendment, market-based, regulation