Data Science Meets Law

65 Communications of the ACM, 2022

8 Pages Posted: 4 May 2022

See all articles by Shlomi Hod

Shlomi Hod

Boston University

Karni Chagal-Feferkorn

University of Ottawa Common Law Section

Niva Elkin-Koren

Tel-Aviv University - Faculty of Law

Avigdor Gal

Technion-Israel Institute of Technology

Date Written: April 6, 2022

Abstract

Engaging lawyers and data scientists in multi-disciplinary dialogue may result in the design of better AI systems. Combining the joint input of these two disciplines as early as possible in the life cycle of AI systems may help in properly embedding human values in these systems and in minimizing their risks of unintended harms.

Lawyers and data scientists, however, often think of the other discipline as "speaking a different language", and facilitating dialogue between them is not always trivial.

This paper describes a "hands on" course taught to both law and data science students in academic institutions in the U.S., Europe and Israel. The unique format of the course, which is based on students working in small mixed groups, enables meaningful dialogue between the disciplines and is intended to contribute to the design of "responsible AI" systems.

In the paper we share the pedagogic principles that guided us as well as insights on how to foster multi disciplinary dialogue between law and data science students.

Keywords: Responsible AI, Ethical AI, AI and Ethics Courses

Suggested Citation

Hod, Shlomi and Chagal-Feferkorn, Karni and Elkin-Koren, Niva and Gal, Avigdor, Data Science Meets Law (April 6, 2022). 65 Communications of the ACM, 2022, Available at SSRN: https://ssrn.com/abstract=4077216 or http://dx.doi.org/10.2139/ssrn.4077216

Shlomi Hod

Boston University ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States

Karni Chagal-Feferkorn (Contact Author)

University of Ottawa Common Law Section ( email )

2292 Edwin Crescent
Ottawa, Ontario K2C 1H7
Canada

Niva Elkin-Koren

Tel-Aviv University - Faculty of Law ( email )

Ramat Aviv
Tel Aviv, 6997801
Israel

Avigdor Gal

Technion-Israel Institute of Technology ( email )

Technion City
Haifa 32000, Haifa 32000
Israel

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