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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.

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By Matt O'Shaughnessy
Published on Feb 6, 2023
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Technology and International Affairs

The Technology and International Affairs Program develops insights to address the governance challenges and large-scale risks of new technologies. Our experts identify actionable best practices and incentives for industry and government leaders on artificial intelligence, cyber threats, cloud security, countering influence operations, reducing the risk of biotechnologies, and ensuring global digital inclusion.

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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

      Matt O'Shaughnessy

Matt O'Shaughnessy
Former Visiting Fellow, Technology and International Affairs Program
Matt O'Shaughnessy
TechnologyIran

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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