State of New Hampshire Use of Artificial Intelligence Technologies Policy

• Authority: New Hampshire
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-11-12

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
• Compromise of privacy
• AI system security vulnerabilities
• Overreliance and unsafe use
• 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
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation
• Loss of human agency and autonomy

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 privacy and data protection (2.1), AI system security (2.2), unfair discrimination (1.1), lack of transparency (7.4), lack of robustness (7.3), and governance failure (6.5). Coverage is concentrated in privacy/security, fairness, and AI system safety domains.

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.

• Trade, Transportation & Utilities
• Information
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This policy governs AI use across multiple public sector domains including public administration, healthcare, law enforcement, environmental services, and transportation infrastructure. The document applies to all Executive Branch government operations in New Hampshire, with specific use cases spanning health care, environmental monitoring, law enforcement, and transportation systems.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state government policy with mandatory requirements for all New Hampshire State Employees and agencies, featuring enforcement through agency head accountability and mandatory reporting requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The policy is issued as part of the Statewide Information Security Manual (SISM) applicable to all Executive Branch entities, with DoIT's Business Relationship Management Division (BRMD) serving as the central coordinating body.

Target

• Entity Types: AI_Deployer, AI_User
• Summary: The policy explicitly applies to all state employees and affiliates who use AI technologies to deliver government services, as well as all Executive Branch entities.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Agency heads are explicitly assigned accountability for policy adherence, BRMD maintains inventory oversight, and ethical review committees assess high-risk AI systems.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: BRMD maintains an inventory of AI technologies, agencies must continuously monitor and evaluate AI systems, and ethical review committees assess 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
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on deployment and operational monitoring. It addresses planning and design through ethical principles, verification through ethical reviews, deployment through specific use case requirements, and operation through continuous monitoring and improvement mandates.

Technical Scope

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

• AI Systems
• Generative AI
• Open Weight / Open Source
• Predictive AI

Technical Scope Summary

The document broadly refers to 'AI technologies' and 'AI systems' without defining specific technical categories. It mentions generative AI explicitly and references automated decision systems. No compute thresholds, foundation models, or open-weight models are mentioned. The focus is on AI applications rather than specific model architectures.