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 Carnegie Endowment for International Peace
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Autonomous AI agents are increasingly prevalent in cyberspace. The EU needs a real-time monitoring strategy, to invest in AI defenses, and to reduce its strategic dependence on U.S. frontier models.
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Middle powers in the region will keep hedging between Washington and Beijing. It’s in the great powers’ interests to play along.
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