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China-US dialogue progress
webdl.acm.org·dl.acm.org/doi/full/10.1145/3715275.3732080
Relevant to international AI governance efforts; provides empirical grounding for US-China AI diplomacy by identifying concrete policy convergences, useful for researchers and policymakers working on global AI coordination.
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Importance: 62/100conference paperanalysis
Summary
This paper conducts a systematic analysis of over 40 AI policy documents from the US and China to identify areas of convergence in AI governance approaches. It finds meaningful overlap in concerns about algorithmic transparency, system reliability, and multi-stakeholder engagement, suggesting concrete opportunities for bilateral cooperation despite geopolitical tensions.
Key Points
- •Analyzed 40+ primary AI policy and corporate governance documents from both nations using the AGORA framework in original languages
- •Found strong overlap in concerns about algorithmic transparency, system reliability, and inclusive multi-stakeholder engagement
- •Both nations share interest in AI's role in enhancing safety, suggesting viable diplomatic entry points
- •Recommends specific bilateral dialogue frameworks to harmonize international AI governance approaches
- •Argues US-China cooperation is essential given both countries together account for the majority of global AI advancement
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Pause Advocacy | Approach | 91.0 |
| Governance-Focused Worldview | Concept | 67.0 |
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## Abstract
### 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.
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## 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 an
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