UK’s AI Regulatory Landscape

Current Regulatory Landscape

Unlike the EU AI Act, the UK has not yet enacted a single, comprehensive AI legislation. This is

largely due to fears of stifling innovation.

Instead, the UK has adopted a more flexible approach to regulating AI, established in the 2023 AI

White Paper. The White Paper empowers existing regulators, such as the Information

Commissioner’s Office (ICO) or the Equality and Human Rights Commission, to develop

tailored, context-specific regulations within their respective sectors.

For example, the ICO, which serves as the primary AI regulator for data protection matters under

UK GDPR and the Data Protection Act 2018, has introduced the “Preventing Harm, Promoting

Trust” strategy targeting AI and biometrics.

The AI White Paper also outlines five guiding principles to ensure the safe and innovative use of

AI in the industries monitored by regulators.

Data (Use and Access) Act 2025

The Data Use and Access Act 2025 (DUAA) primarily introduces reforms to the UK’s data

protection framework by amending the UK GDPR, the Data Protection Act 2018, and the

Privacy and Electronic Communications Regulations 2003. However, it also makes two

important contributions to AI regulation.

Firstly, the DUAA creates a more permissive framework under the UK GDPR for organisations

to implement automated decision-making that has legal or similarly significant effects on

individuals, provided they implement safeguards including transparency, meaningful human

intervention, and the right to contest.

Secondly, the DUAA sets a statutory deadline of 18 March 2026 for the Government to publish

an economic impact assessment and report on the use of copyright works in AI development. On

15 December 2025, the Government published the statutory progress statement required by

section 137 of DUAA. This summarised the results of the AI and Copyright consultation, where

88% of respondents supported strengthening copyright laws by requiring licensing for the use of

copyrighted material in AI training.

EU’s Competing Framework

In contrast to the regulatory guidance faced by UK businesses, EU businesses must comply with

mandatory, AI-specific rules. The EU AI Act establishes a risk-based approach to AI regulation

by classifying AI systems into 4 levels of risk: unacceptable risk (subject to prohibition), high risk

(subject to strict regulation), limited risk (subject to lighter obligations), and minimal risk (largely

unregulated). The higher the perceived risk, the stricter the rules.

The AI Act has also undergone simplification due to its complexity and overlap with other EU

digital laws.

Due to its extraterritorial reach, UK businesses trading in the EU must comply with the AI Act.

This creates particular challenges for UK organisations operating cross-border, who must

navigate both the UK’s principles-based approach and the EU’s risk-based approach.

The Prospect of a UK AI Act

The July 2024 King’s Speech included a bill that would impose requirements on those working

to develop the most powerful artificial intelligence models. That bill, however, did not

materialise.

Most recently, the Artificial Intelligence (Regulation) Bill (the AI Bill) was in the House of Lords.

Broadly, it aims to establish a central AI Authority to oversee the regulation of AI, codify the five

principles outlined in the White Paper, and require the AI Authority to engage with the public

when considering the development and implementation of AI regulations. Despite passing its

first reading, the AI Bill conflicts with the Government’s innovation-friendly strategy towards AI

and is therefore unlikely to receive support from the UK Government and become legislation.

Overall, the UK’s approach to AI regulation is deliberately flexible, relying on sector-specific

regulators and guidance rather than mandatory rules with a low prospect of a single

comprehensive AI legislation.

By Maria Chihai

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