Five Policy Uses of Algorithmic Explainability

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In The Media

Five Policy Uses of Algorithmic Explainability

The notion that algorithmic systems should be "explainable" is common in the many statements of consensus principles developed by governments, companies, and advocacy organizations.

By Matt O'Shaughnessy

Published on Feb 6, 2023

arxiv.org

About the Author

Matt O'Shaughnessy

Former Visiting Fellow, Technology and International Affairs Program

Matt O’Shaughnessy was a visiting fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace, where he applies his technical background in machine learning to research on the geopolitics and global governance of technology.

Recent Work

Commentary
How Hype Over AI Superintelligence Could Lead Policy Astray
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Commentary
What a Chinese Regulation Proposal Reveals About AI and Democratic Values
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Technology Iran

Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.

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