mlsanityData to 7 Oct 2026

AI Regulation in Europe: From the AI Act to Future Regulatory Challenges

arXiv 2310.04072 ↗First posted 6 Oct 2023cs.CY cs.AIcited by 5

Not on the map. Why?

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

  1. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  2. 2023A Watermark for Large Language Modelscited by 667
  3. 2023Jailbreaking ChatGPT via Prompt Engineering: An Empirical Studycited by 478
  4. 2023Undetectable Watermarks for Language Modelscited by 208
  5. 2023From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacycited by 137
  6. 2023Agents: An Open-source Framework for Autonomous Language Agentscited by 116
  7. 2023Regulating ChatGPT and other Large Generative AI Modelscited by 102
  8. 2023Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Modelscited by 44
  9. 2022The Ethical Need for Watermarks in Machine-Generated Languagecited by 30

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 1.

5 papers.