Record STMT-WDF69B0Soft law

A pro-innovation approach to AI regulation

White paper State lawNorthern Europe · GBproposed

This white paper outlines the United Kingdom government's pro-innovation approach to regulating artificial intelligence. It proposes an agile, context-specific framework underpinned by five cross-sectoral principles to be implemented by existing regulators. Additionally, it details plans for central coordination functions, regulatory sandboxes, and the use of trustworthy AI tools to support responsible innovation while mitigating risks.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Department for Science, Innovation and TechnologyGovernment

Lead issuer

Legal forceSoft law

Under whose authorityState law

Judged fromfull text

Who it governs

National governmentRegulatorsCompaniesAI developers and providersAI deployers and usersResearchers and academics

This white paper is for policymakers, regulators, businesses, and AI developers navigating the UK regulatory landscape and seeking guidance on responsible AI innovation.

Sectors

Cross-sector

What the document contains

What's covered

The document covers the strategic vision for AI regulation in the UK, defining characteristics of AI (adaptivity and autonomy), a context-based regulatory framework implemented through five core principles, central support functions, tools for trustworthy AI like assurance techniques and standards, and international interoperability.

What's missing

The document does not introduce immediate statutory duties or new binding legislation for businesses, nor does it establish a brand-new centralized AI regulator.

Key takeaways

The UK is adopting a pro-innovation, proportionate, and context-specific approach to AI regulation rather than enacting rigid blanket rules.
Five cross-sectoral principles—safety, transparency, fairness, accountability, and contestability—will guide existing regulators in overseeing AI.
New central functions will be established within government to monitor the framework, assess cross-cutting risks, and support regulatory coherence.
A multi-regulator AI regulatory sandbox will be established to help innovators bring cutting-edge products to market.
The framework relies initially on non-statutory guidance, with a potential future statutory duty for regulators to have due regard to the principles.

Principles it states

Safety, security and robustnessAppropriate transparency and explainabilityFairnessAccountability and governanceContestability and redress

Outline

· Ministerial foreword
· Executive summary
· Part One: Introduction
· Part Two: The current regulatory environment
· Part Three: An innovative and iterative approach
· Part Four: Tools for trustworthy AI to support implementation
· Part Five: Territorial application
· Part Six: Global interoperability and international engagement
· Part Seven: Conclusion and next steps
· Annex A: Implementation of the principles by regulators
· Annex B: Stakeholder engagement
· Annex C: How to respond to this consultation

Issued29 March 2023

Length31,717 words · 93 pages

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

5/5

Clear responsibility for AI outcomes

Governance measures should be in place to ensure effective oversight of the supply and use of AI systems, with clear lines of accountability established across the AI life cycle.

Part Three: An innovative and iterative approach

screening score · 2026-10-23

Fairness

5/5

Non-discrimination and equitable treatment

AI systems should not undermine the legal rights of individuals or organisations, discriminate unfairly against individuals or create unfair market outcomes.

Part Three: An innovative and iterative approach

screening score · 2026-10-23

Human Dignity

3/5

Respect for the inherent worth of persons

Similarly, without regulatory oversight, AI technologies could pose risks to our privacy and human dignity, potentially harming our fundamental liberties.

Part One: Introduction

screening score · 2026-10-23

Human Oversight

2/5

Humans remain in control of consequential decisions

Some AI systems can make decisions without the express intent or ongoing control of a human.

Part Three: An innovative and iterative approach

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

Processing of personal data involved in the design, training, and use of AI systems should be compliant with requirements under the UK General Data Protection Regulation (GDPR)

Part Three: An innovative and iterative approach

screening score · 2026-10-23

Transparency

5/5

Openness about how AI systems work and are used

Transparency refers to the communication of appropriate information about an AI system to relevant people (for example, information on how, when, and for which purposes an AI system is being used).

Part Three: An innovative and iterative approach

screening score · 2026-10-23

Enforcement

4/5

Consequences and compliance mechanisms with real force

Following this initial period of implementation, and when parliamentary time allows, we anticipate introducing a statutory duty on regulators requiring them to have due regard to the principles.

Executive summary

screening score · 2026-10-23

Impact Assessment

4/5

Required assessment of an AI system's risks/impacts before or during use

Assurance techniques like impact assessments can help to identify potential risks early in the development life cycle, enabling their mitigation through appropriate safeguards and governance mechanisms.

Part Three: An innovative and iterative approach

screening score · 2026-10-23

Topics

ai_regulation innovation risk_management governance compliance