Requires Boise's city departments and contractors to obtain IT approval for AI use, validate AI-generated content before publication, disclose AI use in significant communications, and avoid sharing sensitive data in AI prompts. Promotes transparency, ethical AI governance, and continuous improvement.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal to good coverage of approximately 8-10 subdomains, with primary focus on privacy compromise (2.1), AI system security (2.2), false information (3.1), overreliance (5.1), governance failure (6.5), and lack of robustness (7.3). Coverage is concentrated in privacy/security, misinformation prevention, and basic AI safety domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This is an internal municipal government policy that governs AI use within the City of Boise's own operations. The primary sector governed is Public Administration (excluding National Security), as it applies to city departments, agencies, and employees delivering public services. The policy does not regulate external sectors but rather controls how the city government itself uses AI technologies.
Other
Legislative Status Summary
This is an internal municipal government policy document that establishes guidelines for city employees and contractors regarding AI use. While it uses mandatory language ('shall'), it functions as an internal administrative regulation rather than externally binding law.
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Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document covers multiple AI lifecycle stages with primary focus on deployment and operational monitoring. It addresses planning through approval requirements, deployment through validation and disclosure requirements, and operation through ongoing monitoring and audits. The document does not substantially cover data collection or model building stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems, AI technologies, and provides detailed coverage of Generative AI with specific examples (ChatGPT, Bard, Dall-E). It also references Narrow/Weak AI, Machine Learning, and Natural Language Processing. No mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.