mlsanityData to 14 Oct 2026

The Brussels Effect and Artificial Intelligence: How EU regulation will impact the global AI market

arXiv 2208.12645 ↗First posted 23 Aug 2022cs.CY cs.AIcited by 18

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Abstract (arXiv)

The European Union is likely to introduce among the first, most stringent, and most comprehensive AI regulatory regimes of the world's major jurisdictions. In this report, we ask whether the EU's upcoming regulation for AI will diffuse globally, producing a so-called "Brussels Effect". Building on and extending Anu Bradford's work, we outline the mechanisms by which such regulatory diffusion may occur. We consider both the possibility that the EU's AI regulation will incentivise changes in products offered in non-EU countries (a de facto Brussels Effect) and the possibility it will influence regulation adopted by other jurisdictions (a de jure Brussels Effect). Focusing on the proposed EU AI Act, we tentatively conclude that both de facto and de jure Brussels effects are likely for parts of the EU regulatory regime. A de facto effect is particularly likely to arise in large US tech companies with AI systems that the AI Act terms "high-risk". We argue that the upcoming regulation might be particularly important in offering the first and most influential operationalisation of what it means to develop and deploy trustworthy or human-centred AI. If the EU regime is likely to see significant diffusion, ensuring it is well-designed becomes a matter of global importance.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Aug 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 7; 2024: 3; 2025: 6; 2026: 2.

18 papers.

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  1. 2023Affective Game Computing: A Surveycited by 11
  2. 2025Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agentscited by 11
  3. 2024Trust AI Regulation? Discerning users are vital to build trust and effective AI regulationcited by 9
  4. 2023International Governance of Civilian AI: A Jurisdictional Certification Approachcited by 8
  5. 2025Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Actcited by 6
  6. 2025AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliancecited by 6
  7. 2023The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Researchcited by 4
  8. 2024Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chaincited by 3
  9. 2023Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safetycited by 2
  10. 2023Assessing the impact of regulations and standards on innovation in the field of AIcited by 1
  11. 2023Operationalising the Definition of General Purpose AI Systems: Assessing Four Approachescited by 1
  12. 2023Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Datacited by 1
6 more
  1. 2024Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Actcited by 1
  2. 2025From Turing to Tomorrow: The UK's Approach to AI Regulationcited by 1
  3. 2025Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architecturescited by 1
  4. 2025A Case for Specialisation in Non-Human Entitiescited by 0
  5. 2026Unbounded Harms, Bounded Law: Liability in the Age of Borderless AIcited by 0
  6. 2026Governance at the Edge of Architecture: Regulating NeuroAI and Neuromorphic Systemscited by 0