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The AI Policy Podcast

Mapping Chinese AI Regulation with Matt Sheehan

Apr 2, 2025
Matt Sheehan, a Fellow at the Carnegie Endowment for International Peace, dives into China's AI policymaking evolution over the past decade. He discusses how professionals transitioned from cybersecurity to AI policy, driven by public concerns over deepfakes. Sheehan highlights the pivotal 2017 national AI plan and the tension between privacy and surveillance. He also examines the current state of Chinese AI amidst global challenges, including U.S. export controls, illustrating how companies navigate a complex regulatory landscape.
01:08:34

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • China's AI policy has evolved through three distinct phases, reflecting a shift from rapid innovation to increased regulatory oversight and now to a reassessment phase in light of emerging technologies.
  • Key institutions like the Cyberspace Administration of China and the National Development and Reform Commission play conflicting roles in shaping AI policy, balancing innovation with ideological control and cybersecurity concerns.

Deep dives

Matt Sheehan's Journey into AI Policy

Matt Sheehan, who transitioned from journalism to AI policy, emphasizes his diverse experiences throughout his career. Initially covering China as a journalist, he began writing about the AI and technology landscape in the China-Silicon Valley nexus around 2017. His work has been praised for combining reporting with analysis, allowing for a deeper understanding of the implications of AI developments in both the U.S. and China. Sheehan's unique background gives him a rich perspective on the evolving nature of AI policymaking in China, making him a significant contributor in the field.

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