Kansas Policy and Procedures Memorandum 8200.00

• Authority: Kansas
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-07-31

Risk subdomain coverage

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

• Compromise of privacy
• False or misleading information
• Overreliance and unsafe use
• Lack of capability or robustness

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

• AI system security vulnerabilities
• Fraud, scams, and targeted manipulation
• Loss of human agency and autonomy
• Economic and cultural devaluation of human effort
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 6-8 subdomains, with strong focus on privacy compromise (2.1), AI system security (2.2), false information (3.1), overreliance and unsafe use (5.1), and lack of robustness (7.3). Coverage is concentrated in privacy/security, misinformation, and AI safety domains, with minimal attention to discrimination, malicious actors, or socioeconomic impacts.

Sector coverage

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

• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This is an internal government policy governing AI use within Kansas Executive Branch agencies. The primary sector governed is Public Administration excluding National Security, as the policy applies to state government operations across multiple functional areas including policy development, correspondence, research, and software development.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding policy memorandum issued by the Kansas Chief Information Technology Officer to Executive Branch agencies with mandatory language and enforcement through agency compliance procedures.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Office of Information Technology Services (OITS); Jeff Maxon, Interim Chief Information Technology Officer
• Summary: The policy memorandum is issued by the Interim Chief Information Technology Officer and OITS is explicitly responsible for maintenance of the policy.

Target

• Entity Types: AI_Governance_Actor, AI_User
• Entities: Executive Branch Cabinet and Non-Cabinet Agencies; agencies, boards, commissions under the direction of the Governor; contractors acting on behalf of agencies
• Summary: The policy explicitly applies to Executive Branch agencies and their contractors, defining them as 'entities' subject to the policy requirements for generative AI use.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Heads of entities (agency heads); Office of Information Technology Services (OITS); Chief Information Security Officer
• Summary: Agency heads are explicitly responsible for establishing compliance procedures, while OITS maintains the policy and the Chief Information Security Officer must be consulted on certain contractor approvals.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Office of Information Technology Services (OITS); Heads of entities (agency heads); knowledgeable human operators
• Summary: OITS maintains oversight of the policy, agency heads establish compliance procedures, and human operators are required to review all AI outputs for accuracy and appropriateness.

AI Lifecycle Stages

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

• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily covers the Deploy and Operate and Monitor stages, with strong emphasis on post-deployment human review and ongoing monitoring of AI outputs. It also addresses the Build and Use Model stage through software code development requirements.

Technical Scope

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

• Generative AI
• Predictive AI

Technical Scope Summary

The document explicitly focuses on generative AI, defining it as technology that 'uses advanced technologies such as predictive algorithms, machine learning, and large language models to process natural language and produce content.' It does not mention AI models, AI systems, frontier AI, GPAI, foundation models, or compute thresholds.