Solon Barocas

Cornell University

Assistant Professor

Ithaca, NY 14853

United States

Microsoft Research

641 Avenue of Americas

New York, NY 10011

United States

  • Cornell University

SCHOLARLY PAPERS

17

DOWNLOADS
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Top 711

in Total Papers Downloads

39,741

SSRN CITATIONS
Rank 5,017

SSRN RANKINGS

Top 5,017

in Total Papers Citations

172

CROSSREF CITATIONS

100

Scholarly Papers (17)

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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 17,356 (207)
Citation 207

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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.

Governing Algorithms: A Provocation Piece

Number of pages: 12 Posted: 04 Apr 2013 Last Revised: 08 Apr 2013
Solon Barocas, Sophie Hood and Malte Ziewitz
Cornell University, New York University (NYU) and Cornell University
Downloads 5,211 (1,863)
Citation 25

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algorithms, governance, automation, computation, big data, sociology, law, public policy, control

3.

Accountable Algorithms

University of Pennsylvania Law Review, Vol. 165, 2017 Forthcoming, Fordham Law Legal Studies Research Paper No. 2765268
Number of pages: 66 Posted: 16 Apr 2016 Last Revised: 20 Nov 2016
Joshua A. Kroll, Joanna Huey, Solon Barocas, Edward W. Felten, Joel R. Reidenberg, David G. Robinson and Harlan Yu
Naval Postgraduate School, Princeton University - Center for Information Technology Policy, Cornell University, Princeton University - Center for Information Technology Policy, Fordham University School of Law, Georgetown University Law Center and Princeton University - Center for Information Technology Policy
Downloads 4,693 (2,262)
Citation 26

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algorithms, governance, accountability, internet, cyber, technology, bias, discrimination, computational methods, law, big data, computer science, code

4.

Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI

Workshop on Fairness, Accountability, and Transparency in Machine Learning, 2016
Number of pages: 4 Posted: 04 Oct 2016 Last Revised: 13 Oct 2016
Sarah Bird, Solon Barocas, Kate Crawford, Fernando Diaz and Hanna Wallach
Microsoft Corporation, Cornell University, AI Now Institute, Microsoft Research and Microsoft Research New York City
Downloads 2,706 (5,821)

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Autonomous Experimentation, Artificial Intelligence, Privacy, Ethics

5.

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 2,624 (6,118)
Citation 51

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

6.

Adnostic: Privacy Preserving Targeted Advertising

Proceedings Network and Distributed System Symposium, March 2010
Number of pages: 23 Posted: 20 Feb 2015
Vincent Toubiana, Arvind Narayanan, Dan Boneh, Helen Nissenbaum and Solon Barocas
Commission Nationale de L'informatique et des Libertés (CNIL), Princeton University, Stanford University, Cornell Tech and Cornell University
Downloads 2,425 (6,971)

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privacy, software, advertising, tracking, online behavioral advertising, big data

7.

Privacy Dependencies

95 Washington Law Review 555 (2020)
Number of pages: 62 Posted: 18 Sep 2019 Last Revised: 17 Jun 2020
Solon Barocas and Karen Levy
Cornell University and Cornell University
Downloads 1,324 (18,321)
Citation 1

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privacy, anonymity, discrimination, genetics, technology, networks, inference

8.

Debiasing Desire: Addressing Bias and Discrimination on Intimate Platforms

Forthcoming in Proc. ACM Hum.-Comput. Interact. v. 2 (CSCW) Article 73 (November 2018)
Number of pages: 18 Posted: 01 Oct 2018
Jevan Hutson, Jessie Taft, Solon Barocas and Karen Levy
University of Washington, School of Law, Students, Cornell University - Cornell Tech NYC, Cornell University and Cornell University
Downloads 785 (38,820)
Citation 1

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platforms, bias, discrimination, ethics, design, law, policy, online dating, intimacy

9.

Designing Against Discrimination in Online Markets

32 Berkeley Technology Law Journal 1183 (2017)
Number of pages: 58 Posted: 12 Dec 2017 Last Revised: 10 Jul 2020
Karen Levy and Solon Barocas
Cornell University and Cornell University
Downloads 740 (42,060)

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platforms, bias, discrimination, design, policy

10.

Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination

Policy & Internet, 2017, DOI: 10.1002/poi3.153
Number of pages: 24 Posted: 27 Oct 2016 Last Revised: 25 Jul 2017
Alex Rosenblat, Karen Levy, Solon Barocas and Tim Hwang
Data & Society Research Institute, Cornell University, Cornell University and Data & Society Research Institute
Downloads 565 (59,798)
Citation 10

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platforms, data, discrimination, bias, inequality, ratings, sharing economy, algorithm

11.

On Notice: The Trouble with Notice and Consent

Proceedings of the Engaging Data Forum: The First International Forum on the Application and Management of Personal Electronic Information, October 2009
Number of pages: 7 Posted: 21 Feb 2015
Solon Barocas and Helen Nissenbaum
Cornell University and Cornell Tech
Downloads 493 (70,898)
Citation 3

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privacy, consent, big data, online behavioral advertising, tracking, cyberlaw, privacy policies

12.

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2020
Number of pages: 24 Posted: 25 Jun 2019 Last Revised: 13 Dec 2019
Manish Raghavan, Solon Barocas, Jon Kleinberg and Karen Levy
Cornell University - Department of Computer Science, Cornell University, Cornell University - Department of Computer Science and Cornell University
Downloads 384 (95,252)
Citation 9

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algorithmic bias, employment screening

13.

Data & Civil Rights: Technology Primer

Data & Civil Rights Conference, October 2014
Number of pages: 7 Posted: 16 Dec 2014 Last Revised: 23 Dec 2014
Solon Barocas, Alex Rosenblat, Danah Boyd, Seeta Peña Gangadharan and Corrine Yu
Cornell University, Data & Society Research Institute, Data & Society Research Institute, New America Foundation - Open Technology Institute and The Leadership Conference on Civil and Human Rights
Downloads 201 (185,790)
Citation 1

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Data, metadata, big data, database, aggregation, algorithms, machine learning, data mining

14.

Roles for Computing in Social Change

ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2020
Number of pages: 9 Posted: 10 Jan 2020 Last Revised: 29 Jan 2020
Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan and David G. Robinson
Harvard University - Society of Fellows, Cornell University, Cornell University - Department of Computer Science, Cornell University, Cornell University - Department of Computer Science and Georgetown University Law Center
Downloads 120 (284,185)
Citation 1

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social change, inequality, discrimination, societal implications of AI

15.

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 90 (344,472)

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interpretability, counterfactual explanation, principal reasons, accountability, autonomy

16.

On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes

Number of pages: 24 Posted: 28 Mar 2021
Hoda Heidari, Solon Barocas, Jon Kleinberg and Karen Levy
Carnegie Mellon University, Cornell University, Cornell University - Department of Computer Science and Cornell University
Downloads 24 (601,076)

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17.

Algorithmic Fairness: Choices, Assumptions, and Definitions

Annual Review of Statistics and Its Application, Vol. 8, Issue 1, pp. 141-163, 2021, Vol. 8, Issue 1, pp. 141-163
Posted: 10 Mar 2021
Shira Mitchell, Eric Potash, Solon Barocas, Alexander D'Amour and Kristian Lum
Independent, University of Chicago, Cornell University, Google Research and University of Pennsylvania

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