Directory

Concordia AI's dedicated English-language publication tracking Chinese AI safety and governance developments — technical safety research, governance moves, lab practices, and expert views — the companion channel to its State of AI Safety in China reports. (Concordia AI itself appears on the Inside sheet.)

Professor of Law at the USC Gould School of Law and a leading authority on Chinese tech regulation. Her scholarship and commentary on how China regulates its technology sector, including AI, shape international understanding of Chinese digital governance.

Major US think tank whose China Center and AI governance research interpret China's technology policy for policy audiences; co-organized with Tsinghua University's CISS a sustained US-China Track II dialogue on AI, one of the principal bilateral channels on AI governance.

Global think tank whose AI program includes leading research on China's AI governance system and US-China AI relations, anchored by Matt Sheehan's widely cited work tracing how China's AI regulations are made.

Washington national security think tank whose Technology and National Security program analyzes US-China AI competition, military AI, and China's AI safety and governance discourse for US policy audiences.

Georgetown University policy research organization producing data-driven analysis of AI and emerging technology for security policy, with a strong China focus including a program translating original Chinese AI policy and strategy documents.

Oxford-based non-profit research organization dedicated to the governance of advanced AI, founded in 2018 out of Oxford's Future of Humanity Institute. Builds the global AI governance research field through research, fellowships, and convening; its team and affiliate community span US-China relations, and it has served as an institutional home for China-focused AI governance scholars including Jeff Ding.

A fortnightly newsletter that tracks AI development, governance, and safety in China by monitoring and contextualizing Chinese-language primary sources. It is maintained by the Safe AI Forum.

Translation project run by Jeremy Daum of Yale Law School's Paul Tsai China Center, providing timely English translations of Chinese laws and regulations — including the algorithm, deep synthesis, generative AI, and AI labeling rules — that international researchers rely on as primary sources.

Jeff Ding's weekly Substack translating writings from Chinese thinkers on China's AI landscape, including AI safety benchmarks, governance reports, and policy debates. Running since 2018 with tens of thousands of subscribers, it is the canonical translation channel between Chinese-language AI discourse and English-speaking audiences. Ding is an Assistant Professor of Political Science at George Washington University.

Newsletter and podcast covering China, technology, and US-China relations, with deep coverage of Chinese AI labs, semiconductor policy, and AI governance through interviews with leading researchers and policymakers.

Washington think tank center (est. 2023) researching AI policy, governance, geopolitics, and national security. Its analysis of US-China AI competition and semiconductor export controls — anchored by Gregory C. Allen's work — is among the most influential interpretation of China's AI trajectory for US and allied policymakers.

Stanford-based collaborative project translating and analyzing Chinese digital policy, including authoritative annotated translations and expert analysis of China's AI regulations and governance institutions.

A researcher focused on the Chinese AI governance ecosystem and broader questions of technology governance. She writes China AI Bulletin and has published research and commentary that interprets Chinese AI policy for English-speaking audiences.

A nonpartisan AI policy think tank. Its International Governance & China research includes Chinese AI-safety institutions, comparisons of US and Chinese approaches to general-purpose AI governance, and prospects for bilateral or multilateral safety dialogue.

CSIS project providing English translations of Chinese primary sources — policy documents, speeches, and articles — paired with expert analysis, with the stated goal of enabling a more objective understanding of China. Supported by the Carnegie Corporation of New York, with an advisory board of leading China scholars, and documented selection criteria (publisher affiliation, citation weight, official-line vs. novel argument, signaling intent). A core primary-source layer for China AI governance research.

Senior Fellow at the Carnegie Endowment for International Peace, where his research covers AI development and policy with a focus on China. His work explores China's AI policy ecosystem, the role of technology in China's political economy, and U.S.-China competition in AI. Key analyses include 'Tracing the Roots of China's AI Regulations' (2024), 'How China Views AI Risks and What to Do About Them' (2025, on TC260's AI Safety Governance Framework 2.0), and 'China is Worried About AI Companions' (2026, on the Anthropomorphic AI regulation). Previously a fellow at the Paulson Institute's MacroPolo think tank leading research on Chinese technology issues. Author of 'The Transpacific Experiment' (Counterpoint Press, 2019). Lived in China 2010–2016; reads, writes, and speaks Mandarin Chinese.

An Oxford-based nonprofit research group focused on China, emerging technology, and policy. Its work examines how US–China competition—especially around AI and other emerging technologies—can generate global risks and how policy can mitigate them.

Partner and China/technology policy lead at DGA-Albright Stonebridge Group and honorary senior fellow at the Asia Society Policy Institute. Veteran interpreter of China's AI, semiconductor, and technology policy for international audiences, with 25+ years of prior US government experience and participation in Track II dialogues with China on AI and data governance.

Global policy research organization whose Global and Emerging Risks division — including the Center on AI, Security, and Technology and the Center for the Geopolitics of AGI — and China Research Center produce research on China's AI ecosystem, US-China AI market competition, China's science and technology strategy, and verification approaches for international AI agreements.

Weekly newsletter tracking and decoding developments in China's AI ecosystem — model releases, AI companies, chips, and policy — written for international audiences. Author Tony Peng is a former AI reporter (Synced) and former Baidu global communications lead.

A US 501(c)(3) nonprofit working on global coordination around extreme AI risks. It maintains China AI Bulletin and co-convenes the International Dialogues on AI Safety with Chinese research partners.

Research Scholar in Law and Senior Fellow at Yale Law School's Paul Tsai China Center, focused on China's cybersecurity legal system, data governance, and the US-China technology relationship — foundational context for China's AI regulatory regime.

A researcher working on global AI development and governance with a focus on China. He co-founded the Oxford China Policy Lab and is a fellow at the Carnegie Endowment for International Peace.

Head of China, AI Research and Strategic Initiatives in the Office of Eric Schmidt, and former Bloomberg News China reporter. Writes on China's AI trajectory and US-China technology competition for major outlets including co-authored New York Times essays with Eric Schmidt that have shaped elite US understanding of China's AI momentum.

English-language podcast launched in 2026 by Tsinghua University's Center for International Security and Strategy, featuring leading Chinese experts on AI competition, shared security risks, and US-China cooperation — a rare outward-facing channel conveying how Chinese strategists themselves frame AI risk. (CISS appears on the Ecosystem Actors sheet.)

An independent digital publication focused on business, economic, and policy coverage of China for a Western readership. Notable for its 'Who's Who' series profiling key figures across Chinese industries — including a comprehensive directory of 52 entrepreneurs, scientists, and policymakers shaping China's AI ecosystem, compiled from corporate documents, government statements, scholarly articles, and media reports. Also operates WireScreen, an AI-powered research platform for China corporate intelligence. The Who's Who AI directory covers leaders at DeepSeek, Zhipu AI, Moonshot, MiniMax, Baidu, Tencent, ByteDance, SenseTime, Huawei, and government officials including at MOST and CAS.

Beijing- and international-based policy research consultancy that monitors Chinese policymaking daily; its tech policy team provides close, practitioner-oriented tracking and interpretation of China's AI and data regulations for international audiences.

Shanghai-based research publication founded by media executive Zhou Jiangong, analyzing China's technology, AI, and energy transformation through industrial logic. Publishes an English-language Substack (part of the TechBuzz China content network) whose close readings of China's AI industry — DeepSeek releases, token economics, open-source dynamics — interpret the industrial layer of the ecosystem for international readers.

AI governance researcher and entrepreneur based at UC Berkeley. MPP from UC Berkeley Goldman School of Public Policy with an AI governance specialization; Berkeley AI Safety Fellow; Co-Founder of AI Safety Sandbox, an AI governance startup incubating at Berkeley SkyDeck Pad13. Collaborator at MIT's AI Risk Repository (airisk.mit.edu). Consulting background spanning both U.S. and Chinese government agencies — including the U.S. Department of Energy, WWF, the Pacific Economic Cooperation Council (PECC), China's Cyberspace Administration (CAC), and the Shanghai City Government. Contributed to PECC conference recommendations as a partner event to the 2025 Paris AI Summit. Active on Xiaohongshu (小红书) covering AI governance and China tech policy discourse: https://xhslink.cn/m/52DWYMaOBtb

Programme Associate (Research) at the Oxford China Policy Lab, researching China's AI governance and development and the broader socioeconomic implications of AI. Holds a Master's in Social Science of the Internet from the Oxford Internet Institute, University of Oxford. Concordia AI affiliate. Notable published work includes analysis of China's AI registry system and the AIGC algorithm filing dataset for ChinaTalk ('China's AI Landscape: a free-for-all, not a central plan', 2026), and investigation of China's proxy economy for accessing Western AI models ('How to Buy Cheap Claude Tokens in China', ChinaTalk 2026). Research supported by the Tarbell Center for AI Journalism. Previously covered China's humanoid robot policies and Singapore's role in the US-China AI competition.