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Promising Topics for US-China Dialogues on AI Risks

paper

Authors

Saad Siddiqui·Lujain Ibrahim·Kristy Loke·Stephen Clare·Marianne Lu·Aris Richardson·Conor McGlynn·Jeffrey Ding

Credibility Rating

3/5
Good(3)

Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: arXiv

Systematic analysis identifying common ground between US and China on AI governance and risk management, directly addressing geopolitical challenges to global AI safety cooperation through examination of policy and corporate governance documents.

Paper Details

Citations
0
Year
2025
Methodology
peer-reviewed
Categories
Proceedings of the 2025 ACM Conference on Fairness

Metadata

arxiv preprintanalysis

Abstract

Cooperation between the United States and China, the world's leading artificial intelligence (AI) powers, is crucial for effective global AI governance and responsible AI development. Although geopolitical tensions have emphasized areas of conflict, in this work, we identify potential common ground for productive dialogue by conducting a systematic analysis of more than 40 primary AI policy and corporate governance documents from both nations. Specifically, using an adapted version of the AI Governance and Regulatory Archive (AGORA) - a comprehensive repository of global AI governance documents - we analyze these materials in their original languages to identify areas of convergence in (1) sociotechnical risk perception and (2) governance approaches. We find strong and moderate overlap in several areas such as on concerns about algorithmic transparency, system reliability, agreement on the importance of inclusive multi-stakeholder engagement, and AI's role in enhancing safety. These findings suggest that despite strategic competition, there exist concrete opportunities for bilateral U.S.-China cooperation in the development of responsible AI. Thus, we present recommendations for furthering diplomatic dialogues that can facilitate such cooperation. Our analysis contributes to understanding how different international governance frameworks might be harmonized to promote global responsible AI development.

Summary

This paper identifies potential areas of cooperation between the United States and China on AI governance by systematically analyzing over 40 primary AI policy and corporate governance documents from both nations. Using the AI Governance and Regulatory Archive (AGORA), the authors examine documents in their original languages to find convergence in sociotechnical risk perception and governance approaches. The analysis reveals significant overlap on concerns including algorithmic transparency, system reliability, multi-stakeholder engagement, and AI safety, suggesting concrete opportunities for bilateral cooperation despite geopolitical tensions. The authors provide recommendations for diplomatic dialogues to advance responsible AI development and harmonize international governance frameworks.

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# Promising Topics for U.S.–China Dialogues on AI Risks and Governance

Saad Siddiqui
Safe AI ForumUnited Kingdom, Lujain Ibrahim
University of OxfordUnited Kingdom, Kristy Loke
IndependentUnited States, Stephen Clare
Centre for the Governance of AIUnited Kingdom, Marianne Lu
Stanford UniversityUnited States, Aris Richardson
Centre for the Governance of AIUnited Kingdom, Conor McGlynn
Harvard UniversityUnited States and Jeffrey Ding
George Washington UniversityUnited States

(2025; 20 January 2025; 9 April 2025)

###### Abstract.

Cooperation between the United States and China, the world’s leading artificial intelligence (AI) powers, is crucial for effective global AI governance and responsible AI development. Although geopolitical tensions have emphasized areas of conflict, in this work, we identify potential common ground for productive dialogue by conducting a systematic analysis of more than 40 primary AI policy and corporate governance documents from both nations. Specifically, using an adapted version of the AI Governance and Regulatory Archive (AGORA) — a comprehensive repository of global AI governance documents — we analyze these materials in their original languages to identify areas of convergence in (1) sociotechnical risk perception and (2) governance approaches. We find strong and moderate overlap in several areas such as on concerns about algorithmic transparency, system reliability, agreement on the importance of inclusive multi-stakeholder engagement, and AI’s role in enhancing safety. These findings suggest that despite strategic competition, there exist concrete opportunities for bilateral U.S.-China cooperation in the development of responsible AI. Thus, we present recommendations for furthering diplomatic dialogues that can facilitate such cooperation. Our analysis contributes to understanding how different international governance frameworks might be harmonized to promote global responsible AI development.

AI policy, geopolitics, international governance, US, China, governance

††journalyear: 2025††copyright: cc††conference: The 2025 ACM Conference on Fairness, Accountability, and Transparency; June 23–26, 2025; Athens, Greece††booktitle: The 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’25), June 23–26, 2025, Athens, Greece††doi: 10.1145/3715275.3732080††isbn: 979-8-4007-1482-5/2025/06††ccs: Social and professional topics Government technology policy††ccs: Social and professional topics Governmental regulations††ccs: Social and professional topics Computing industry

## 1\. Introduction

Artificial intelligence (AI) systems developed in one country can profoundly shape outcomes around the world. As such, global cooperation is needed to effectively manage the transnational nature of AI development and deployment, especially in areas such as risk mitigation and safety standards ( [pouget2024future,](https://ar5iv.labs.arxiv.org/html/2505.07468#bib.bib42 "")). Cooperation between 

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