Artificial Intelligence (Regulation) Act 2024

• Authority: Government of the United Kingdom
• Jurisdiction: Other countries
• Collections: Miscellaneous documents
• Most recent activity: Proposed
• Most recent activity date: 2024-05-10

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Governance failure
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Compromise of privacy
• AI system security vulnerabilities
• False or misleading information
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Economic and cultural devaluation of human effort
• Competitive dynamics
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 8-10 subdomains, with strong focus on governance structures (6.5), transparency and interpretability (7.4), fairness and discrimination (1.1, 1.3), privacy (2.1), AI system security (2.2), and competitive dynamics (6.4). Coverage is concentrated in governance, fairness, transparency, and system safety domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Information
• Professional & Technical Services
• Scientific Research & Development Services
• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Finance & Insurance
• Real Estate, Rental & Leasing
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services

All other sectors had no coverage in this document.

Sectors Summary

This is a horizontal regulation that applies across all economic sectors. The Act governs any business that develops, deploys, or uses AI, regardless of sector. It establishes cross-sectoral governance through the AI Authority's coordination with 'relevant regulators' across different industries, making it applicable to all 14 sectors where AI is developed, deployed, or used.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative Act passed by Parliament with mandatory obligations, enforcement mechanisms including fines and penalties, and regulatory oversight by the AI Authority.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is enacted by the King with the advice and consent of Parliament, indicating Parliament as the proposing body for this legislation.

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The Act explicitly targets businesses that develop, deploy, or use AI, requiring them to have designated AI officers, comply with transparency obligations, and allow audits.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The AI Authority is established as the primary enforcement body with functions including monitoring, evaluation, gap analysis, and accreditation of auditors. The Secretary of State has regulatory powers including creating offences and penalties.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The AI Authority has explicit monitoring and evaluation functions, including assessing risks, conducting horizon-scanning, and evaluating regulatory effectiveness. Independent auditors are also designated to monitor business compliance.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with particular emphasis on deployment, operation and monitoring. It addresses planning and design through regulatory principles, data collection through transparency requirements, model building through testing obligations, verification through audit requirements, and comprehensive deployment and operational monitoring through the AI Authority's oversight functions.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly defines and covers AI broadly, including generative AI specifically. It mentions AI technology, AI systems, products and services involving AI, but does not distinguish between frontier AI, general purpose AI, task-specific AI, foundation models, or establish compute thresholds. There is no explicit mention of open-weight models or predictive AI.