SCHOLARLY PAPERS

10

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Top 6,886

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113

CROSSREF CITATIONS

63

Scholarly Papers (10)

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
Cornell University and UCLA School of Law
Downloads 14,391 (249)
Citation 157

Abstract:

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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, Data & Society Research Institute, Haverford College, University of Utah and Princeton University
Downloads 3,034 (4,157)
Citation 12

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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 Cornell University
Downloads 2,265 (6,795)
Citation 36

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

4.

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 1,376 (15,235)
Citation 9

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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

5.

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 1,205 (18,720)
Citation 13

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

6.

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 1,055 (22,762)

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tort, negligence, artificial intelligence, machine learning

7.

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 247 (138,566)
Citation 3

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

8.

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 220 (154,917)
Citation 1

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

9.

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 86 (323,883)

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

10.

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
Cornell University, UCLA School of Law and Cornell University - Department of Computer Science
Downloads 46 (444,869)

Abstract:

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interpretability, counterfactual explanation, principal reasons, accountability, autonomy