Solon Barocas

Microsoft Research

300 Lafayette Street

New York, NY 10012

United States

Cornell University

Assistant Professor

Ithaca, NY 14853

United States

  • Cornell University

SCHOLARLY PAPERS

23

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Top 553

in Total Papers Downloads

71,624

TOTAL CITATIONS
Rank 4,578

SSRN RANKINGS

Top 4,578

in Total Papers Citations

416

Scholarly Papers (23)

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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
Microsoft ResearchCornell University and UCLA School of Law
Downloads 30,874 (167)
Citation 171

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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
Microsoft ResearchCornell University, New York University (NYU) and Cornell University
Downloads 6,585 (2,454)
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, David G. Robinson and Harlan Yu
Naval Postgraduate School, Princeton University - Center for Information Technology Policy, Microsoft ResearchCornell University, Princeton University - Center for Information Technology Policy, Fordham University School of Law, Georgetown University Law CenterUpturn and Princeton University - Center for Information Technology Policy
Downloads 6,306 (2,649)
Citation 26

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

4.

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 4,457 (4,829)
Citation 109

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

5.

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, Microsoft ResearchCornell University, AI Now Institute, Mila and Microsoft Research New York City
Downloads 4,454 (4,828)

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Autonomous Experimentation, Artificial Intelligence, Privacy, Ethics

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 NYC and Microsoft ResearchCornell University
Downloads 3,643 (6,724)

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

7.

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy

Number of pages: 45 Posted: 18 Oct 2022 Last Revised: 17 Feb 2023
Angelina Wang, Sayash Kapoor, Solon Barocas and Arvind Narayanan
Princeton University, Princeton University, Microsoft ResearchCornell University and Princeton University
Downloads 2,974 (9,301)

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8.

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
Microsoft ResearchCornell University and Cornell University
Downloads 1,762 (21,382)
Citation 4

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

9.

Less Discriminatory Algorithms

Georgetown Law Journal, Vol. 113, No. 1, 2024, Washington University in St. Louis Legal Studies Research Paper Forthcoming
Number of pages: 68 Posted: 31 Oct 2023 Last Revised: 18 Nov 2024
Emily Black, John Logan Koepke, Pauline Kim, Solon Barocas and Mingwei Hsu
Columbia University - Barnard College, Upturn, Washington University in St. Louis - School of Law, Microsoft ResearchCornell University and Upturn
Downloads 1,740 (21,842)

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AI, artificial intelligence, model multiplicity, discrimination, civil rights, algorithmic decision-making, disparate impact

10.

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
Massachusetts Institute of Technology (MIT), Microsoft ResearchCornell University, Cornell University - Department of Computer Science and Cornell University
Downloads 1,661 (23,427)
Citation 53

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algorithmic bias, employment screening

11.

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
Hintze Law PLLC, Cornell University - Cornell Tech NYC, Microsoft ResearchCornell University and Cornell University
Downloads 1,443 (28,986)
Citation 2

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

12.

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
Microsoft ResearchCornell University and Cornell Tech NYC
Downloads 1,190 (38,388)
Citation 6

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

13.

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 1,175 (39,097)
Citation 5

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AI, artificial intelligence, administrative law, FTC, discrimination

14.

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, Microsoft ResearchCornell University and Data & Society Research Institute
Downloads 1,009 (48,620)
Citation 10

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

15.

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 Microsoft ResearchCornell University
Downloads 938 (53,819)
Citation 2

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platforms, bias, discrimination, design, policy

16.

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
Microsoft ResearchCornell University, Data & Society Research Institute, Microsoft Research, New America Foundation - Open Technology Institute and The Leadership Conference on Civil and Human Rights
Downloads 442 (141,131)
Citation 1

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

17.

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, David G. Robinson and David G. Robinson
Harvard University - Society of Fellows, Microsoft ResearchCornell University, Cornell University - Department of Computer Science, Cornell University, Massachusetts Institute of Technology (MIT) and Georgetown University Law CenterUpturn
Downloads 315 (205,607)
Citation 1

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social change, inequality, discrimination, societal implications of AI

18.

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 203 (319,536)

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interpretability, counterfactual explanation, principal reasons, accountability, autonomy

19.

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice

Number of pages: 35 Posted: 06 Feb 2025
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, Danah Boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot and Katherine Lee
Microsoft Research, Google DeepMind, Independent, Google DeepMind, Google DeepMind, Stanford University, Independent, Google DeepMind, Google Research, University of Washington - Paul G. Allen School of Computer Science & Engineering, Google DeepMind, Google DeepMind, Google Research, Google Research, Stanford University - Department of Computer Science, Stanford Law School, University of Washington, Stanford University, Cornell University, Cornell Law School, Cornell University - Cornell Tech NYC, Cornell University - Department of Computer Science, Microsoft ResearchCornell University, West Virginia University - College of Law, Stanford Law School, Microsoft Research, Microsoft Research New York City, Independent, Northeastern Univeristy, University of Pennsylvania - Statistics Department, University of Michigan at Ann Arbor, Google DeepMind, Microsoft Research New York City, University of Toronto, Toronto, Canada and Cornell University - Department of Computer Science
Downloads 201 (325,356)

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machine unlearning, privacy, copyright, safety, Generative AI

20.

Model Multiplicity: Opportunities, Concerns, and Solutions

Number of pages: 29 Posted: 28 Jun 2022 Last Revised: 14 Feb 2023
Emily Black, Manish Raghavan and Solon Barocas
Columbia University - Barnard College, Harvard University - John A. Paulson School of Engineering and Applied Sciences and Microsoft ResearchCornell University
Downloads 113 (521,661)

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Model multiplicity, predictive multiplicity, procedural multiplicity, fairness, discrimination, recourse, arbitrariness

21.

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, Microsoft ResearchCornell University, Cornell University - Department of Computer Science and Cornell University
Downloads 71 (700,355)

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22.

An Uncommon Task: Participatory Design in Legal AI

Fernando Delgado, Solon Barocas, & Karen Levy. 2022. An Uncommon Task: Participatory Design in Legal AI. In Proceedings of the ACM on Human-Computer Interaction, 6, CSCW1, Article 51 (April 2022), 23 pages, https://doi.org/10.1145/3512898
Number of pages: 23 Posted: 01 Apr 2022
Fernando Delgado, Solon Barocas and Karen Levy
Cornell University, Microsoft ResearchCornell University and Cornell University
Downloads 68 (716,797)
Citation 1

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legal technology, participatory design, artificial intelligence, electronic discovery, civil procedure, technology assisted review

23.

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, Microsoft ResearchCornell University, Google Research and University of Pennsylvania

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