
Sinica Podcast "The China Debate We're Not Having" | Part 3: Tech, Rivalry, and Competing Visions of the Future
May 1, 2026
Selina Xu — AI policy lead focused on international cooperation. Mieke Eoyang — cyber policy veteran and defense technologist. Jeff Ding — scholar framing AI competition as a diffusion marathon. Samm Sacks — researcher on Chinese tech, data, and trust. They debate whether 'rivalry' fits U.S.-China tech relations. They discuss supply-chain costs, cybersecurity reciprocity, open-source and standards, and competing on trust, talent, and norms.
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There Are Many Chinas Debating AI Policy
- China contains multiple, divergent internal debates over AI, including pushes for guardrails and ethics reviews, not a single monolithic policy.
- Samm Sacks cited China's generative AI rules and MIIT ethics review requiring algorithmic ethics filings and protections for workers.
Enable Low Trust Collaboration With Technical Safeguards
- Create technical and legal mechanisms to collaborate without relying on mutual trust, e.g., anonymized encrypted data-sharing for narrow AI incidents.
- Samm Sacks proposed sharing narrow, non-sensitive environmental or EV charging datasets as a low-trust step.
Cybersecurity Is A Convergence Point For Cooperation
- Cybersecurity is a practical area for US-China cooperation because open-source and cross-border models will run on mixed devices, creating shared vulnerabilities.
- Mieke Eoyang noted China's mandated first-to-government disclosure blocks a crowdsourced vulnerability ecosystem used in the US.




