Data science meets law

Shlomi Hod; Karni Chagal-Feferkorn; Niva Elkin-Koren; Avidor Gal

doi:10.1145/3506575

Data science meets law

Shlomi Hod, Karni Chagal-Feferkorn, Niva Elkin-Koren, Avidor Gal

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	35-39
Number of pages	5
Journal	Communications of the ACM
Volume	65
Issue number	2
DOIs	https://doi.org/10.1145/3506575
State	Published - Feb 2022
Externally published	Yes

Bibliographical note

Funding Information:
The authors thank the course team, our co-instructor for the Spring 2021 class, Helen Nissenbaum, and the teaching fellows over the years (alphabetically) Alex Chapanin, Guy Berkenstadt, Hofit Wasserman Rozen, Margot Hanley, Nitay Calderon, Shir Lissak, and Sivan Shachar. The authors also thank our students for their active participation, involvement and valuable feedback. Gal also acknowledges the support of the Benjamin and Florence Free Chair. Chagal-Feferkorn acknowledges the support of the Scotiabank Fund for the AI + Society Initiative.

ASJC Scopus subject areas

General Computer Science

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10.1145/3506575

Cite this

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title = "Data science meets law",

author = "Shlomi Hod and Karni Chagal-Feferkorn and Niva Elkin-Koren and Avidor Gal",

note = "Funding Information: The authors thank the course team, our co-instructor for the Spring 2021 class, Helen Nissenbaum, and the teaching fellows over the years (alphabetically) Alex Chapanin, Guy Berkenstadt, Hofit Wasserman Rozen, Margot Hanley, Nitay Calderon, Shir Lissak, and Sivan Shachar. The authors also thank our students for their active participation, involvement and valuable feedback. Gal also acknowledges the support of the Benjamin and Florence Free Chair. Chagal-Feferkorn acknowledges the support of the Scotiabank Fund for the AI + Society Initiative.",

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AU - Chagal-Feferkorn, Karni

AU - Elkin-Koren, Niva

AU - Gal, Avidor

N1 - Funding Information: The authors thank the course team, our co-instructor for the Spring 2021 class, Helen Nissenbaum, and the teaching fellows over the years (alphabetically) Alex Chapanin, Guy Berkenstadt, Hofit Wasserman Rozen, Margot Hanley, Nitay Calderon, Shir Lissak, and Sivan Shachar. The authors also thank our students for their active participation, involvement and valuable feedback. Gal also acknowledges the support of the Benjamin and Florence Free Chair. Chagal-Feferkorn acknowledges the support of the Scotiabank Fund for the AI + Society Initiative.

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Data science meets law

Bibliographical note

ASJC Scopus subject areas

Access to Document

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