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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The Islamic Republic’s words and actions suggest that it has changed its approach to both diplomacy and war.
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- Mirror Life Policy Working GroupCollection
Mirror life is an unprecedented risk that demands action. The Mirror Life Policy Working Group is developing recommendations for guiding and governing the pursuit of beneficial mirror biology while preventing the creation of mirror life.
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This will be the region’s most representative tournament, amid broad changes in its footballing landscape.
Issam Kayssi
- Russia’s Elite Conflict Over Internet Restrictions Does Not Herald Regime CollapseCommentary
A much-discussed disagreement over internet restrictions in Russia was never an existential threat for Putin: It was about elite groups protecting their interests.
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