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AI policy matters

Published: 04 January 2021 Publication History

Abstract

AI Policy Matters is a regular column in AI Matters featuring summaries and commentary based on postings that appear twice a month in the AI Matters blog (https://sigai.acm.org/aimatters/blog/). We welcome everyone to make blog comments so we can develop a rich knowledge base of information and ideas representing the SIGAI members.

References

[1]
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. "A survey on bias and fairness in machine learning". CoRR, abs/1908.09635, 2019.
[2]
Moritz Hardt, Eric Price, and Nati Srebro. 2016. "Equality of Opportunity in Supervised Learning". In Advances in Neural Information Processing Systems 29, D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett (Eds.). Curran Associates, Inc., 3315--3323. http://papers.nips.cc/paper/ 6374-equality-of-opportunity-in-supervised-learning.pdf.
[3]
Martin Wattenberg, Fernanda Viegas, and Moritz Hardt. "Attacking discrimination with smarter machine learning." Accessed at https://research.google.com/bigpicture/attacking-discrimination-in-ml/, 2016.

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Published In

cover image AI Matters
AI Matters  Volume 6, Issue 1
May 2020
16 pages
EISSN:2372-3483
DOI:10.1145/3402562
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: 04 January 2021
Published in SIGAI-AIMATTERS Volume 6, Issue 1

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