Solon Barocas

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Arvind NarayananProfessor, Princeton UniversityVerified email at cs.princeton.edu
Karen LevyCornell UniversityVerified email at cornell.edu
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net
Andrew SelbstUCLA School of LawVerified email at law.ucla.edu
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
Su Lin BlodgettMicrosoft Research MontréalVerified email at microsoft.com
Malte ZiewitzScience & Technology Studies - Cornell UniversityVerified email at cornell.edu
danah boydPartner Researcher, Microsoft Research; Distinguished Visiting Professor, Georgetown UniversityVerified email at danahboyd.org
Vincent ToubianaVerified email at cnil.fr
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Joshua KrollNaval Postgraduate SchoolVerified email at nps.edu
Alexander D'AmourResearch Scientist, Google DeepMindVerified email at google.com
Eric PotashUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Dan BonehProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Angelina WangStanford UniversityVerified email at stanford.edu
Kristian LumUniversity of ChicagoVerified email at uchicago.edu
Alex RosenblatData & Society Research InstituteVerified email at datasociety.net
David G. RobinsonOpenAIVerified email at robinsonian.com

Solon Barocas

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

Verified email at cornell.edu - Homepage


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Big Data's Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016	4929	2016
Big Data's Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016	4802	2016
Fairness and Machine Learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023	2018*	2023
Accountable Algorithms JA Kroll, J Huey, S Barocas, EW Felten, JR Reidenberg, DG Robinson, ... University of Pennsylvania Law Review 165, 633, 2016	1665	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	1221	2020
The Intuitive Appeal of Explainable Machines A Selbst, S Barocas Fordham Law Review, 2018	735	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	716*	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	660	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	495	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	472	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	378*	2017
AI Now 2017 Report A Campolo, M Sanfilippo, M Whittaker, K Crawford	315*	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	293	2020
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons S Barocas, A Selbst, M Raghavan Conference on Fairness, Accountability, and Transparency (FAccT), 2020	259	2020
Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination A Rosenblat, KEC Levy, S Barocas, T Hwang Policy & Internet, 2017	255*	2017
Problem Formulation and Fairness S Passi, S Barocas Conference on Fairness, Accountability, and Transparency (FAccT), 2019	229	2019
Governing Algorithms: A Provocation Piece S Barocas, S Hood, M Ziewitz Governing Algorithms: A Conference on Computation, Automation, and Control, 2013	218*	2013
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	205*	2017
Big Data's End Run around Procedural Privacy Protections S Barocas, H Nissenbaum Communications of the ACM 57 (11), 31-33, 2014	192	2014
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	134*	2009

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