Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Not on the map. Why?
Abstract (arXiv)
As a powerful and rapidly advancing dual-use technology, AI offers both immense benefits and worrisome risks. In response, governing bodies around the world are developing a range of regulatory AI laws and policies. This paper compares three distinct approaches taken by the EU, China and the US. Within the US, we explore AI regulation at both the federal and state level, with a focus on California's pending Senate Bill 1047. Each regulatory system reflects distinct cultural, political and economic perspectives. Each also highlights differing regional perspectives on regulatory risk-benefit tradeoffs, with divergent judgments on the balance between safety versus innovation and cooperation versus competition. Finally, differences between regulatory frameworks reflect contrastive stances in regards to trust in centralized authority versus trust in a more decentralized free market of self-interested stakeholders. Taken together, these varied approaches to AI innovation and regulation influence each other, the broader international community, and the future of AI regulation.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 2 of its 75 references that are in the map. First posted on arXiv 5 Oct 2024.
Builds on
2 of 75 references.
References · 2
Built on by
Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practicescited by 11
- 2026Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundariescited by 2
- 2025Deciding how to respond: A deliberative framework to guide policymaker responses to AI systemscited by 0
- 2026Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Lawscited by 0
- 2026An Evaluation Framework for National AI Regulationcited by 0
- 2026An Evaluation Framework for National AI Regulation15 Aug 2026
- 2026Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws30 May 2026
- 2026Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries7 Apr 2026
- 2025Deciding how to respond: A deliberative framework to guide policymaker responses to AI systems5 Aug 2025
- 2025What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices4 Apr 2025