AI Regulation in Europe: From the AI Act to Future Regulatory Challenges
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Abstract (arXiv)
This chapter provides a comprehensive discussion on AI regulation in the European Union, contrasting it with the more sectoral and self-regulatory approach in the UK. It argues for a hybrid regulatory strategy that combines elements from both philosophies, emphasizing the need for agility and safe harbors to ease compliance. The paper examines the AI Act as a pioneering legislative effort to address the multifaceted challenges posed by AI, asserting that, while the Act is a step in the right direction, it has shortcomings that could hinder the advancement of AI technologies. The paper also anticipates upcoming regulatory challenges, such as the management of toxic content, environmental concerns, and hybrid threats. It advocates for immediate action to create protocols for regulated access to high-performance, potentially open-source AI systems. Although the AI Act is a significant legislative milestone, it needs additional refinement and global collaboration for the effective governance of rapidly evolving AI technologies.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 9 of its 25 references that are in the map. First posted on arXiv 6 Oct 2023.
Builds on
9 of 25 references.
References · 9
- 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
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- 2023From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacycited by 137
- 2023Agents: An Open-source Framework for Autonomous Language Agentscited by 116
- 2023Regulating ChatGPT and other Large Generative AI Modelscited by 102
- 2023Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Modelscited by 44
- 2022The Ethical Need for Watermarks in Machine-Generated Languagecited by 30
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 1.
5 papers.
- 2023Will releasing the weights of future large language models grant widespread access to pandemic agents?cited by 25
- 2024Acceptable Use Policies for Foundation Modelscited by 12
- 2026Quantifying Trust: Financial Risk Management for Trustworthy AI Agentscited by 8
- 2025Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applicationscited by 5
- 2025Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramidcited by 0
- 2026Quantifying Trust: Financial Risk Management for Trustworthy AI Agents5 Apr 2026
- 2025Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid6 Nov 2025
- 2025Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications23 Oct 2025
- 2024Acceptable Use Policies for Foundation Models29 Aug 2024
- 2023Will releasing the weights of future large language models grant widespread access to pandemic agents?25 Oct 2023