Colorado House Bill 24-1468

• Authority: Colorado
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-06-06

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
• Loss of human agency and autonomy
• Increased inequality and decline in employment
• 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 6-7 subdomains, with strong focus on unfair discrimination (1.1), unequal performance (1.3), privacy compromise (2.1), governance failure (6.5), and lack of transparency (7.4). Coverage is concentrated in discrimination/toxicity, privacy, and AI system safety domains, with particular emphasis on algorithmic discrimination protections.

Sector coverage

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

• Public Administration (excl. National Security)

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

• Information
• Finance & Insurance
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This is a cross-sectoral governance document that applies broadly to AI systems and automated decision systems across all economic sectors. The task force membership and study areas indicate particular attention to employment/labor, education, healthcare, law enforcement, finance, and security sectors, though the document does not limit its scope to these areas.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act enacted by the Colorado General Assembly that creates a statutory task force with mandatory requirements, specific membership composition, and defined duties. The language uses mandatory terms throughout and establishes legal obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Colorado General Assembly
• Summary: The document is a legislative act enacted by the Colorado General Assembly, which is the state legislative body that proposed and enacted this bill creating the AI Impact Task Force.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: Developers and deployers of artificial intelligence systems and automated decision systems doing business in Colorado
• Summary: The task force is charged with developing recommendations regarding protections from AI systems, with specific focus on developers and deployers. The document defines both developers and deployers as persons doing business in Colorado.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Colorado General Assembly; Governor's Office; Attorney General
• Summary: The task force reports to the General Assembly committee and Governor's Office. The Attorney General or designee is a member of the task force. The General Assembly maintains oversight through the sunset review process.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Artificial Intelligence Impact Task Force; Colorado General Assembly Committee; Governor's Office
• Summary: The task force itself serves as the primary monitoring body to study AI impacts and develop recommendations. It reports to the legislative committee and governor's office, which provide oversight. The task force is subject to sunset review.

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 addresses multiple AI lifecycle stages with primary focus on Deploy and Operate and Monitor stages. It emphasizes transparency requirements, monitoring for algorithmic discrimination, and verification of claims throughout deployment and operation. The Plan and Design stage is also covered through recommendations for ethical frameworks and best practices.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly defines and covers both AI systems and automated decision systems. It does not mention frontier AI, general purpose AI, foundation models, or specific compute thresholds. The focus is on systems that make or assist in decisions impacting consumers and workers, with particular attention to biometric technology and facial recognition services.