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Artificial intelligence regulation in the United Kingdom: a path to good governance and global leadership?

Abstract:
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.Comment: Final version forthcoming in: Ifeoma Ajunwa & Jeremias Adams-Prassl (eds), Oxford Handbook of Algorithmic Governance and the Law, Oxford University Press, 202
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.14763/2023.2.1709

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-9610-7245
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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-5221-4770
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-8817-4977
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-1181-649X


Publisher:
Internet Policy Review, Alexander von Humboldt Institute for Internet and Society
Journal:
Internet Policy Review More from this journal
Volume:
12
Issue:
2
Publication date:
2023-05-26
DOI:
ISSN:
2197-6775


Language:
English
Keywords:
Pubs id:
1311773
Local pid:
pubs:1311773
Source identifiers:
W4379179989
Deposit date:
2026-04-30
ARK identifier:
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