Record STMT-M040Soft law

AI regulation: a pro-innovation approach

White paper State lawNorthern Europe · GBproposed

This white paper sets out the UK government's pro-innovation and context-specific regulatory framework for artificial intelligence. Rather than introducing heavy-handed cross-cutting legislation or establishing a new AI regulator, the approach empowers existing regulators to apply five core principles: safety, security and robustness; transparency and explainability; fairness; accountability and governance; and contestability and redress. The framework also proposes central support functions—such as monitoring, horizon scanning, and an AI regulatory sandbox—to ensure regulatory coherence, support innovation, and build public trust.

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

Office for Artificial IntelligenceGovernment

Co-issuer

Legal forceSoft law

Under whose authorityState law

Judged fromfull text

Who it governs

National governmentRegulatorsPublic sector bodiesCompaniesAI developers and providersAI deployers and usersResearchers and academics

This white paper is intended for businesses, AI developers, deployers, regulators, researchers, and policymakers seeking to understand how the UK government plans to regulate and support artificial intelligence innovation.

Sectors

Cross-sectorPublic administration · government regulation and public servicesTelecommunications and digital services · artificial intelligence and digital technology

What the document contains

What's covered

The document establishes a comprehensive national strategy for AI governance that relies on existing regulatory bodies applying a flexible, context-specific set of principles. It addresses the balance between harnessing economic growth and mitigating risks such as bias, safety hazards, and security threats. Additionally, it details plans for central coordination functions, regulatory sandboxes, assurance techniques, technical standards, and international cooperation.

What's missing

The document does not introduce immediate statutory laws or new binding regulations for AI, nor does it create a new dedicated AI regulator. It leaves detailed liability allocations and specific enforcement thresholds open for future consultation and monitoring.

Key takeaways

The UK is implementing a pro-innovation, context-specific regulatory framework that avoids rigid, blanket legislation in favor of empowering existing regulators.
The framework is guided by five cross-sectoral principles: safety, security and robustness; transparency and explainability; fairness; accountability and governance; and contestability and redress.
Initially, the principles will be issued on a non-statutory basis, with a potential future statutory duty requiring regulators to have due regard to the principles when parliamentary time allows.
Central support functions will be established within government to oversee monitoring and evaluation, cross-sector risk assessment, horizon scanning, and international interoperability.
A multi-regulator AI sandbox and testbed will be piloted to help innovators navigate regulatory complexity and bring cutting-edge products to market faster.

Principles it states

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

Outline

· Ministerial foreword
· Executive summary
· Part 1: Introduction
· Part 2: The current regulatory environment
· Part 3: An innovative and iterative approach
· Part 4: Tools for trustworthy AI to support implementation
· Part 5: Territorial application
· Part 6: Global interoperability and international engagement
· Part 7: 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

Length31,705 words

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

4/5

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 3

screening score · 2026-10-24

Fairness

4/5

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 3

screening score · 2026-10-24

Human Dignity

2/5

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 1

screening score · 2026-10-24

Privacy

3/5

Protection of personal data and private life

AI systems are also required by data protection law to process personal data fairly.

Part 2

screening score · 2026-10-24

Transparency

4/5

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 3

screening score · 2026-10-24

Enforcement

2/5

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 · 2026-10-24

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 3

screening score · 2026-10-24

Topics

Physical AI Governancesupporting

ai_governance regulation pro_innovation regulatory_sandbox artificial_intelligence compliance