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🇬🇧United Kingdom · Regulatory Framework

UK AI Framework

UK Pro-Innovation AI Framework

Published March 2023
01
Chapter 01

Overview

A Pro-Innovation Approach to AI Regulation

The UK AI Framework

The UK has adopted a distinctive approach to AI regulation that prioritizes innovation while maintaining safety and accountability. Rather than creating new AI-specific legislation (as the EU has done), the UK framework empowers existing sector-specific regulators to apply five cross-cutting principles within their domains.

This approach is designed to be proportionate, pro-innovation, and adaptable to the rapid pace of AI development. It avoids a one-size-fits-all regulatory model in favor of sector-specific expertise and flexibility.

02
Chapter 02

Five Cross-Sectoral Principles

Guiding UK AI Regulation

The Five Principles

The UK framework establishes five cross-sectoral principles that existing regulators should consider:

**1. Safety, Security, and Robustness** — AI systems should function securely, safely, and robustly, with risks identified and managed throughout the lifecycle.
**2. Appropriate Transparency and Explainability** — AI systems should be appropriately transparent and explainable, with the level of transparency proportionate to the risk and context.
**3. Fairness** — AI systems should not undermine the legal rights of individuals or organizations, discriminate unfairly, or create unfair market outcomes.
**4. Accountability and Governance** — Governance measures should ensure effective oversight of AI systems, with clear lines of accountability.
**5. Contestability and Redress** — People should have clear routes to contest harmful outcomes or decisions made by AI systems and seek appropriate redress.