Solon Barocas

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Karen LevyCornell UniversityVerified email at cornell.edu
Arvind NarayananAssociate Professor, Princeton UniversityVerified email at cs.princeton.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
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Manish RaghavanMITVerified email at mit.edu
Malte ZiewitzScience & Technology Studies - Cornell UniversityVerified email at cornell.edu
Vincent ToubianaVerified email at cnil.fr
Su Lin BlodgettMicrosoft Research MontréalVerified email at microsoft.com
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Joshua KrollNaval Postgraduate SchoolVerified email at nps.edu
danah boydPartner Researcher, Microsoft Research; Founder/President, Data & Society; Assistant Professor, NewVerified 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
Kristian LumUniversity of ChicagoVerified email at uchicago.edu
Rediet AbebeHarvard Society of FellowsVerified email at fas.harvard.edu
Alex RosenblatData & Society Research InstituteVerified email at datasociety.net
David G. RobinsonCornell Information Science; UpturnVerified email at robinsonian.com

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	4095	2016
Fairness and Machine Learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023	1485*	2023
Accountable Algorithms JA Kroll, J Huey, S Barocas, EW Felten, JR Reidenberg, DG Robinson, ... University of Pennsylvania Law Review 165, 633, 2016	1452	2016
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	866	2020
Fairness in Machine Learning S Barocas, M Hardt Conference on Neural Information Processing Systems (NeurIPS), 2017	758	2017
The Intuitive Appeal of Explainable Machines A Selbst, S Barocas Fordham Law Review, 2018	583	2018
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	521*	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	488	2020
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	479	2010
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	409	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	335*	2017
AI Now 2017 Report A Campolo, M Sanfilippo, M Whittaker, K Crawford	272*	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	238	2020
Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination A Rosenblat, KEC Levy, S Barocas, T Hwang Policy & Internet, 2017	226*	2017
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons S Barocas, A Selbst, M Raghavan Conference on Fairness, Accountability, and Transparency (FAccT), 2020	214	2020
Governing Algorithms: A Provocation Piece S Barocas, S Hood, M Ziewitz Governing Algorithms: A Conference on Computation, Automation, and Control, 2013	200*	2013
Problem Formulation and Fairness S Passi, S Barocas Conference on Fairness, Accountability, and Transparency (FAccT), 2019	183	2019
Big Data's End Run around Procedural Privacy Protections S Barocas, H Nissenbaum Communications of the ACM 57 (11), 31-33, 2014	175	2014
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	145*	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	125	2009

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