Solon Barocas

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Arvind NarayananProfessor, Princeton UniversityEmail verificata su cs.princeton.edu
Karen LevyCornell UniversityEmail verificata su cornell.edu
Hanna WallachPartner Research Manager, Microsoft ResearchEmail verificata su dirichlet.net
Andrew SelbstUCLA School of LawEmail verificata su law.ucla.edu
Moritz HardtMax Planck Institute for Intelligent SystemsEmail verificata su is.mpg.de
Jon KleinbergProfessor of Computer Science, Cornell UniversityEmail verificata su cs.cornell.edu
Su Lin BlodgettMicrosoft Research MontréalEmail verificata su microsoft.com
Manish RaghavanMITEmail verificata su mit.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandEmail verificata su umiacs.umd.edu
Malte ZiewitzScience & Technology Studies - Cornell UniversityEmail verificata su cornell.edu
danah boydPartner Researcher, Microsoft Research; Distinguished Visiting Professor, Georgetown UniversityEmail verificata su danahboyd.org
Vincent ToubianaEmail verificata su cnil.fr
Joshua KrollNaval Postgraduate SchoolEmail verificata su nps.edu
Angelina WangStanford UniversityEmail verificata su stanford.edu
Alexander D'AmourResearch Scientist, Google DeepMindEmail verificata su google.com
Eric PotashUniversity of Illinois Urbana-ChampaignEmail verificata su illinois.edu
Dan BonehProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
A. Feder CooperPostdoc | Incoming Professor, Yale CSEmail verificata su microsoft.com
Kristian LumUniversity of ChicagoEmail verificata su uchicago.edu
Alex RosenblatData & Society Research InstituteEmail verificata su datasociety.net

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Solon Barocas

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

Email verificata su cornell.edu - Home page


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Big Data's Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016	5342	2016
Big Data’s Disparate Impact S Barocas, AD Selbst California Law Review 104 (3), 671-732, 2016	5182	2016
Fairness and Machine Learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023	2391*	2023
Accountable Algorithms JA Kroll, J Huey, S Barocas, EW Felten, JR Reidenberg, DG Robinson, ... University of Pennsylvania Law Review 165, 633, 2016	1752	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	1383	2020
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	801*	2021
The Intuitive Appeal of Explainable Machines A Selbst, S Barocas Fordham Law Review, 2018	784	2018
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	757	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	504	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	491	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	401*	2017
AI Now 2017 Report A Campolo, M Sanfilippo, M Whittaker, K Crawford	329	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	316	2020
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons S Barocas, A Selbst, M Raghavan Conference on Fairness, Accountability, and Transparency (FAccT), 2020	275	2020
Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination A Rosenblat, KEC Levy, S Barocas, T Hwang Policy & Internet, 2017	268*	2017
Problem Formulation and Fairness S Passi, S Barocas Conference on Fairness, Accountability, and Transparency (FAccT), 2019	245	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	235*	2017
Governing Algorithms: A Provocation Piece S Barocas, S Hood, M Ziewitz Governing Algorithms: A Conference on Computation, Automation, and Control, 2013	223*	2013
Big Data's End Run around Procedural Privacy Protections S Barocas, H Nissenbaum Communications of the ACM 57 (11), 31-33, 2014	197	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	138*	2009

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