UK AI Regulation Framework
UK pro-innovation approach to AI regulation
Framework summaries on this platform are AI-assisted interpretations for educational and compliance planning purposes. They do not reproduce or replace the official standards. Refer to the authoritative source for the definitive text. Framework names and trademarks belong to their respective organisations.
Framework Domains (26)
Cross cutting: Data governance
| Code | Title |
|---|---|
| UKAI-2.2 | Data Quality and Provenance for AI |
Cross cutting: Human oversight
| Code | Title |
|---|---|
| UKAI-2.6 | Human Oversight of AI Decisions |
Cross cutting: Impact assessment
| Code | Title |
|---|---|
| UKAI-2.5 | AI Impact Assessment |
Cross cutting: Monitoring
| Code | Title |
|---|---|
| UKAI-2.4 | Post Deployment Monitoring and Drift Detection |
Cross cutting: Risk classification
| Code | Title |
|---|---|
| UKAI-2.1 | AI Risk Tiering and Classification |
Cross cutting: Testing
| Code | Title |
|---|---|
| UKAI-2.3 | Pre Deployment Testing and Validation |
Incident management: AI specific
| Code | Title |
|---|---|
| UKAI-4.4 | AI Incident Reporting and Learning |
Principle 1: Safety, Security, Robustness
| Code | Title |
|---|---|
| UKAI-1.1 | Safety, Security and Robustness Principle |
Principle 2: Transparency, Explainability
| Code | Title |
|---|---|
| UKAI-1.2 | Appropriate Transparency and Explainability Principle |
Principle 3: Fairness
| Code | Title |
|---|---|
| UKAI-1.3 | Fairness Principle |
Principle 4: Accountability, Governance
| Code | Title |
|---|---|
| UKAI-1.4 | Accountability and Governance Principle |
Principle 5: Contestability, Redress
| Code | Title |
|---|---|
| UKAI-1.5 | Contestability and Redress Principle |
Public sector: Transparency
| Code | Title |
|---|---|
| UKAI-4.2 | Algorithmic Transparency Recording Standard for Public Sector |
Sector: Competition
| Code | Title |
|---|---|
| UKAI-3.5 | CMA Competition Considerations for Foundation Models |
Sector: Data protection regulator
| Code | Title |
|---|---|
| UKAI-3.1 | ICO Sectoral Guidance Compliance |
Sector: Financial services
| Code | Title |
|---|---|
| UKAI-3.2 | FCA Sectoral Expectations for AI in Financial Services |
Sector: Healthcare
| Code | Title |
|---|---|
| UKAI-3.3 | MHRA Software and AI as a Medical Device |
Sector: Online safety
| Code | Title |
|---|---|
| UKAI-3.4 | Ofcom Online Safety Act AI Content Provisions |
Sector: Workplace safety
| Code | Title |
|---|---|
| UKAI-3.6 | HSE Workplace AI Safety Considerations |
Supply chain: Procurement
| Code | Title |
|---|---|
| UKAI-4.1 | AI Procurement and Supplier Assurance |
UK AI Regulation Framework: AI Accountability & Oversight
Human oversight and accountability for AI (UK AI Regulation Framework)
| Code | Title |
|---|---|
| UK-AI-16 | Human oversight mechanisms |
| UK-AI-17 | Accountability framework for AI systems |
| UK-AI-18 | AI incident reporting and response |
| UK-AI-19 | Regulatory compliance for AI |
| UK-AI-20 | Third-party AI audit requirements |
UK AI Regulation Framework: AI Data Governance
Governing data used in AI systems (UK AI Regulation Framework)
| Code | Title |
|---|---|
| UK-AI-11 | Training data quality and governance |
| UK-AI-12 | Data bias assessment and mitigation |
| UK-AI-13 | Data provenance and lineage tracking |
| UK-AI-14 | Privacy protection in AI training data |
| UK-AI-15 | Data retention for AI models |
UK AI Regulation Framework: AI Risk Management
Managing risks associated with AI systems (UK AI Regulation Framework)
| Code | Title |
|---|---|
| UK-AI-01 | AI risk identification and assessment |
| UK-AI-02 | AI system categorization by risk level |
| UK-AI-03 | Bias detection and mitigation |
| UK-AI-04 | AI model validation and testing |
| UK-AI-05 | Ongoing AI risk monitoring |
UK AI Regulation Framework: AI Safety & Security
Ensuring AI system safety and security (UK AI Regulation Framework)
| Code | Title |
|---|---|
| UK-AI-21 | AI system robustness and resilience |
| UK-AI-22 | Adversarial attack protection |
| UK-AI-23 | AI model security and integrity |
| UK-AI-24 | Safe AI deployment procedures |
| UK-AI-25 | AI system lifecycle management |
UK AI Regulation Framework: AI Transparency & Explainability
Ensuring transparency in AI decision-making (UK AI Regulation Framework)
| Code | Title |
|---|---|
| UK-AI-06 | AI system documentation requirements |
| UK-AI-07 | Algorithmic transparency measures |
| UK-AI-08 | Explainability requirements for high-risk AI |
| UK-AI-09 | User notification of AI interactions |
| UK-AI-10 | Record-keeping for AI decisions |
Workforce: Capability
| Code | Title |
|---|---|
| UKAI-4.3 | AI Skills and Training for Personnel |
Your Compliance Coverage
If you comply with UK AI Regulation Framework, you already cover:
Maps to 594 other frameworks
Frequently Asked Questions
What is UK AI Regulation Framework?
UK AI Regulation Framework is a compliance framework from United Kingdom with 26 domains and 46 controls. UK pro-innovation approach to AI regulation It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does UK AI Regulation Framework have?
UK AI Regulation Framework has 46 controls organised across 26 domains. The largest domains are UK AI Regulation Framework: AI Accountability & Oversight (5 controls), UK AI Regulation Framework: AI Data Governance (5 controls), UK AI Regulation Framework: AI Risk Management (5 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does UK AI Regulation Framework map to?
UK AI Regulation Framework maps to 594 other compliance frameworks. The top mapping partners are Cloud Security Alliance Cloud Controls Matrix (CCM) v4.0.1 (20% coverage), Japan AI Guidelines (20% coverage), Australia AI Ethics Framework (20% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with UK AI Regulation Framework compliance?
Start your UK AI Regulation Framework compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about UK AI Regulation Framework requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 46 controls and track your progress.
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