Oklahoma House Bill 1916

• Authority: Oklahoma
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Proposed
• Most recent activity date: 2025-02-04

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
• Disinformation, surveillance, and influence at scale
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

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

• Unequal performance across groups
• Compromise of privacy
• AI system security vulnerabilities
• False or misleading information
• Pollution of information ecosystem
• Fraud, scams, and targeted manipulation
• Competitive dynamics

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 discrimination and bias (1.1, 1.3), privacy and security (2.1, 2.2), misinformation (3.1), malicious actors (4.1), human-computer interaction (5.1), governance structures (6.5), and AI system safety (7.3, 7.4). Coverage is concentrated in fairness, transparency, and governance domains.

Sector coverage

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

• Finance & Insurance
• Health Care & Social Assistance
• Public Administration (excl. National Security)
• National Security

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

• Trade, Transportation & Utilities
• Information
• Scientific Research & Development Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

The document governs AI deployment across multiple sectors with explicit coverage of health care, finance and insurance, public administration, and national security/law enforcement. It also implicitly covers critical infrastructure and utilities through its risk classification framework.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act with mandatory requirements, enforcement mechanisms including financial penalties and system suspensions, and establishment of a regulatory body (AI Council) with enforcement authority.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Oklahoma State Legislature; Oklahoma House of Representatives
• Summary: The document is a House Bill proposed by the Oklahoma Legislature, as indicated by the title 'Oklahoma House Bill 1916' and the enactment clause.

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The act explicitly targets 'deployers' defined as 'any public entity, private organization, or individual that implements AI systems for operational use' and applies to 'all public sector agencies and private entities deploying artificial intelligence (AI) systems affecting individuals within this state.'

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Artificial Intelligence Council (AI Council)
• Summary: The AI Council is established as the primary enforcement body with authority to issue penalties, suspend systems, and mandate oversight. The Council is composed of nine members appointed by the Governor, Speaker of the House, and President Tempore of the Senate.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Artificial Intelligence Council (AI Council)
• Summary: The AI Council is responsible for monitoring compliance through annual reports, analyzing feedback, overseeing the sandbox program, and receiving annual performance reports from deployers. Independent auditors also play a monitoring role for high-risk systems.

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
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on deployment, operation and monitoring. It addresses planning through risk classification requirements, verification through mandatory audits and assessments, deployment through notification and approval processes, and ongoing monitoring through performance evaluations and oversight mechanisms.

Technical Scope

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

• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly defines and covers AI systems broadly as 'artificial intelligence or machine learning–based or algorithmic technology.' It does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI systems generally, classified by risk level rather than technical characteristics.