Matt O'Shaughnessy
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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.
About the Author
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.
- How Hype Over AI Superintelligence Could Lead Policy AstrayCommentary
- What a Chinese Regulation Proposal Reveals About AI and Democratic ValuesCommentary
Matt O'Shaughnessy
Recent Work
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.
More Work from Malcolm H. Kerr Carnegie Middle East Center
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Huawei pushed hard to enter the Egyptian data centers market, until the Americans made a better offer.
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Middle Eastern states should welcome an accelerated U.S. disengagement from their region.
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In an interview, former ambassador Charles Freeman assesses the Trump administration’s war against Iran.
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Morocco and Algeria, each in its own way, are having to navigate the global economic fallout of the U.S.-Israeli military campaign against Iran.
Yasmine Zarhloule