Common regulatory capacity for AI

Aitken, Mhairi, Leslie, David, Ostmann, Florian, Pratt, Jacob, Margetts, Helen and Dorobantu, Cosmina (2022) Common regulatory capacity for AI. . The Alan Turing Institute, London, UK.

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Abstract

The use of artificial intelligence (AI) is increasing across all sectors of the economy, which raises important and pressing questions for regulators. This report presents the results of research into how regulators can meet the challenge of regulating activities transformed by AI and maximise the potential of AI for regulatory innovation. The report also investigates whether regulators perceive a need for common capacity in AI — mechanisms and structures that enable coordination, knowledge sharing, and resource pooling — to advance AI readiness across the UK’s regulatory landscape. The study was commissioned by the Office for AI and produced by The Alan Turing Institute’s public policy programme. The Regulators and AI Working Group, convened by the Information Commissioner’s Office, provided essential input and feedback throughout all stages of the research. The report draws on interviews with staff across regulatory bodies of different sizes and sectoral remits.

Item Type:	Monograph (Report)
Official URL:	https://www.turing.ac.uk/news/publications
Divisions:	LSE
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General) K Law > K Law (General)
Date Deposited:	20 Oct 2025 15:27
Last Modified:	20 Oct 2025 15:27
URI:	http://eprints.lse.ac.uk/id/eprint/129871

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