UK AI Regulation Framework
UK pro-innovation approach to AI regulation
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Framework Domains (5)
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 |
Maps to 580 other frameworks
Frequently Asked Questions
What is UK AI Regulation Framework?
UK AI Regulation Framework is a compliance framework from United Kingdom with 5 domains and 25 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 25 controls organised across 5 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 580 other compliance frameworks. The top mapping partners are CSA CCM v4 (36% coverage), Japan AI Guidelines (36% coverage), Australia AI Ethics Framework (36% 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 25 controls and track your progress.
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