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
- We Need Ongoing Monitoring of AI and Political InformationArticle
Monitoring is essential so that policymakers and the public can understand—and have a say in—how AI systems affect politics.
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Chinese biotech companies have been on the receiving end of U.S. economic coercion. Yet their responses have differed significantly because firm and state interests are not uniformly aligned. For Washington, treating all Chinese tech firms the same, irrespective of their actual interests, risks pushing them farther into Beijing’s corner.
Xue Gong
- Inside the Global Race to Erode a Battery Manufacturing MonopolyCommentary
Over the past decade, China has moved from marginal player to major producer of all things batteries. The United States, Europe, and others are aiming to balance the market.
Milo McBride
- Why Korea’s President Skipped Washington for Silicon Valley and BrasíliaCommentary
Lee’s tour shows how Seoul is reorganizing its diplomacy away from Pyongyang and toward industrial networks and the geography of the compute economy.
Darcie Draudt-Véjares
- Confronting the Barriers to AI Diffusion in the U.S. MilitaryPaper
The Pentagon is calling for a rapid AI transformation. Autonomous drones offer a case study in the eight bottlenecks the U.S. military must navigate to realize that vision.
Jake Steckler