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Data science meets law

Authors:

Shlomi Hod,

Karni Chagal-Feferkorn,

Niva Elkin-Koren,

Avigdor GalAuthors Info & Claims

Communications of the ACM, Volume 65, Issue 2

Pages 35 - 39

https://doi.org/10.1145/3506575

Published: 24 January 2022 Publication History

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Abstract

Learning Responsible AI together.

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Cited By

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Madaio MKapania SQadri RWang DZaldivar ADenton RWilcox L(2024)Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and AspirationsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658988(1544-1558)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658988
Resta G(2024)“So Lonely”: Comparative Law and the Quest for Interdisciplinary Legal EducationInternational Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique10.1007/s11196-024-10143-137:5(1569-1586)Online publication date: 28-Mar-2024
https://doi.org/10.1007/s11196-024-10143-1
Domínguez Figaredo DStoyanovich J(2023)Responsible AI literacy: A stakeholder-first approachBig Data & Society10.1177/2053951723121995810:2Online publication date: 19-Dec-2023
https://doi.org/10.1177/20539517231219958
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Index Terms

Data science meets law
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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Information & Contributors

Information

Published In

Communications of the ACM Volume 65, Issue 2

February 2022

110 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3514042

Editor:
Andrew A. Chien
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 January 2022

Published in CACM Volume 65, Issue 2

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Cited By

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Madaio MKapania SQadri RWang DZaldivar ADenton RWilcox L(2024)Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and AspirationsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658988(1544-1558)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658988
Resta G(2024)“So Lonely”: Comparative Law and the Quest for Interdisciplinary Legal EducationInternational Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique10.1007/s11196-024-10143-137:5(1569-1586)Online publication date: 28-Mar-2024
https://doi.org/10.1007/s11196-024-10143-1
Domínguez Figaredo DStoyanovich J(2023)Responsible AI literacy: A stakeholder-first approachBig Data & Society10.1177/2053951723121995810:2Online publication date: 19-Dec-2023
https://doi.org/10.1177/20539517231219958
Jarzemsky JPaup JFiesler CDoyle MStephenson BDorn BSoh LBattestilli L(2023)"This Applies to the Real World": Student Perspectives on Integrating Ethics into a Computer Science AssignmentProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569846(374-380)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569846
Tan JWan HYan PZhu Z(2022)Data Science Applications and Implications in Legal Studies: A Perspective Through Topic ModellingJournal of Data Science10.6339/22-JDS1058(57-67)Online publication date: 4-Aug-2022
https://doi.org/10.6339/22-JDS1058
Siering M(2022)Explainability and fairness of RegTech for regulatory enforcementDecision Support Systems10.1016/j.dss.2022.113782158:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.dss.2022.113782
Santana-Morales PMerchán AMárquez-Rodríguez ATallón-Ballesteros A(2022)Feature Ranking for Feature Sorting and Feature Selection: FR4(FS)Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence10.1007/978-3-031-06527-9_54(545-550)Online publication date: 31-May-2022
https://dl.acm.org/doi/10.1007/978-3-031-06527-9_54

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