Solon Barocas

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Arvind NarayananAssociate Professor, Princeton UniversityVerified email at cs.princeton.edu
Karen LevyCornell UniversityVerified email at cornell.edu
Andrew SelbstUCLA School of LawVerified email at law.ucla.edu
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net
Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
Manish RaghavanMITVerified email at mit.edu
Vincent ToubianaVerified email at cnil.fr
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Malte ZiewitzScience & Technology Studies - Cornell UniversityVerified email at cornell.edu
danah boydPartner Researcher, Microsoft Research; Founder/President, Data & Society; Assistant Professor, NewVerified email at microsoft.com
Joshua KrollNaval Postgraduate SchoolVerified email at nps.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Su Lin BlodgettMicrosoft Research MontréalVerified email at microsoft.com
Dan BonehProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Alexander D'AmourResearch Scientist, Google BrainVerified email at google.com
Eric PotashUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Alex RosenblatData & Society Research InstituteVerified email at datasociety.net
Kristian LumUniversity of PennsylvaniaVerified email at seas.upenn.edu
David G. RobinsonCornell Information Science; UpturnVerified email at robinsonian.com
Joel R. ReidenbergStanley D. and Nikki Waxberg Chair in Law, Fordham UniversityVerified email at law.fordham.edu

Solon Barocas

Principal Researcher, Microsoft Research; Adjunct Assistant Professor, Information Science, Cornell

Verified email at cornell.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Big Data's Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016	3710	2016
Accountable Algorithms JA Kroll, J Huey, S Barocas, EW Felten, JR Reidenberg, DG Robinson, ... University of Pennsylvania Law Review 165, 633, 2016	1344	2016
Fairness and Machine Learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023	1193*	2023
Language (Technology) is Power: A Critical Survey of "Bias" in NLP SL Blodgett, S Barocas, H Daumé III, H Wallach Conference of the Association for Computational Linguistics (ACL), 2020	682	2020
The Intuitive Appeal of Explainable Machines A Selbst, S Barocas Fordham Law Review, 2018	520	2018
Fairness in Machine Learning S Barocas, M Hardt Conference on Neural Information Processing Systems (NeurIPS), 2017	502	2017
Adnostic: Privacy Preserving Targeted Advertising V Toubiana, A Narayanan, D Boneh, H Nissenbaum, S Barocas Proceedings of the Network and Distributed System Security Symposium (NDSS), 2010	466	2010
Algorithmic Fairness: Choices, Assumptions, and Definitions S Mitchell, E Potash, S Barocas, A D’Amour, K Lum Annual Review of Statistics and Its Application 8, 2021	390*	2021
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices M Raghavan, S Barocas, J Kleinberg, K Levy Conference on Fairness, Accountability, and Transparency (FAccT), 2020	390	2020
Big Data’s End Run around Anonymity and Consent S Barocas, H Nissenbaum Privacy, Big Data, and the Public Good: Frameworks for Engagement, 44-75, 2014	374	2014
Ten Simple Rules for Responsible Big Data Research M Zook, S Barocas, K Crawford, E Keller, SP Gangadharan, A Goodman, ... PLOS Computational Biology 13 (3), e1005399, 2017	298*	2017
AI Now 2017 Report A Campolo, M Sanfilippo, M Whittaker, K Crawford	259*	2017
Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination A Rosenblat, KEC Levy, S Barocas, T Hwang Policy & Internet, 2017	205*	2017
Roles for Computing in Social Change R Abebe, S Barocas, J Kleinberg, K Levy, M Raghavan, D Robinson Conference on Fairness, Accountability, and Transparency (FAccT), 2020	198	2020
Governing Algorithms: A Provocation Piece S Barocas, S Hood, M Ziewitz Governing Algorithms: A Conference on Computation, Automation, and Control, 2013	190*	2013
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons S Barocas, A Selbst, M Raghavan Conference on Fairness, Accountability, and Transparency (FAccT), 2020	182	2020
Big Data's End Run around Procedural Privacy Protections S Barocas, H Nissenbaum Communications of the ACM 57 (11), 31-33, 2014	167	2014
Problem Formulation and Fairness S Passi, S Barocas Conference on Fairness, Accountability, and Transparency (FAccT), 2019	156	2019
The Problem with Bias: From Allocative to Representational Harms in Machine Learning S Barocas, K Crawford, A Shapiro, H Wallach Special Interest Group for Computing, Information, and Society (SIGCIS), 2017	112*	2017
On Notice: The Trouble with Notice and Consent S Barocas, H Nissenbaum Proceedings of the Engaging Data Forum: The First International Forum on the …, 2009	112	2009

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