Document Type
Article
Publication Date
11-2022
ISBN
9781450392341
Publisher
Association for Computing Machinery
Language
en-US
Abstract
Many pressing societal questions can be answered only by bringing experts from different disciplines together. Questions around misinformation and disinformation, platform power, surveillance capitalism, information privacy, and algorithmic bias, among many others, reside at the intersection of computer science and law. We need to develop institutions that bring together computer scientists and legal scholars to work together on issues like these, and to train new innovators, thought leaders, counselors, and policymakers with hybrid training in both disciplines. In Universities, the disciplines of Computer Science (CS) and Law are separated by many wide chasms. Differences in standards, language, methods, and culture impede professors and other academic researchers who want to collaborate with colleagues on the other side of this divide. Universities place CS and Law in different schools, on different campuses, on different calendars, etc. Researchers in the two disciplines face differing incentives and reward structures for publishing, teaching, funding, and service.
Recommended Citation
Azer Bestavros, Stacey Dogan, Paul Ohm & Andrew Sellars,
Bridging the Computer Science – Law Divide
,
in
November 2022
CSLAW '22: Proceedings of the 2022 Symposium on Computer Science and Law
51
(2022).
Available at:
https://scholarship.law.bu.edu/faculty_scholarship/3763
Comments
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 authors.
CSLAW '22, November 1–2, 2022, Washington, DC, USA
© 2022 Copyright is held by the owner/author(s).
ACM ISBN 978-1-4503-9234-1/22/11.
https://doi.org/10.1145/3511265.3550497