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      Data science meets law

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          Abstract

          Learning Responsible AI together.

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          Most cited references16

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          Signature pedagogies in the professions

          Lee S. Shulman (2005)
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            Fairness and Abstraction in Sociotechnical Systems

            Andrew Selbst, Danah Boyd, Sorelle Friedler … (2019)
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              A snapshot of the frontiers of fairness in machine learning

              Alexandra Chouldechova, Aaron Roth (2020)
              A group of industry, academic, and government experts convene in Philadelphia to explore the roots of algorithmic bias.
              Article 0 comments Cited 48 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: Communications of the ACM
                Abbreviated Title: Commun. ACM
                Publisher: Association for Computing Machinery (ACM)
                ISSN (Print): 0001-0782
                ISSN (Electronic): 1557-7317
                Publication date Created: February 2022
                Publication date (Electronic): January 24 2022
                Publication date (Print): February 2022
                Volume: 65
                Issue: 2
                Pages: 35-39
                Affiliations
                [1 ]Boston University
                [2 ]University of Ottawa, Canada
                [3 ]Tel Aviv University, Faculty of Law, Israel
                [4 ]Technion---Israel Institute of Technology, Israel
                Article
                DOI: 10.1145/3506575
                SO-VID: 3d072a9b-a309-4b28-b978-752b3698f433
                Copyright © © 2022
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