Prohibits state agencies from using AI for unlawful discrimination, public surveillance without a warrant, and malicious deepfakes. Requires human review for irreversible AI decisions. Mandates disclosure for AI-generated content. Ensures compliance via audits and annual reporting to authorities.
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 good coverage of approximately 8-9 subdomains, with strong focus on discrimination (1.1), privacy and surveillance (2.1), disinformation and deepfakes (4.1, 4.3), human-computer interaction (5.1, 5.2), governance structures (6.5), and AI system robustness (7.3, 7.4). Coverage is concentrated in discrimination prevention, surveillance restrictions, and human oversight requirements.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document governs AI use across all state government operations, primarily affecting Public Administration (excluding National Security) and National Security sectors. It applies to government agencies, law enforcement, courts, and critical infrastructure management.
Hard Law
Legislative Status Summary
This is a binding state statute (New Hampshire H1688) with mandatory language throughout, explicit prohibitions, compliance requirements, enforcement mechanisms through state agencies, and reporting obligations to state authorities.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily focuses on the Deploy and Operate and Monitor stages, with requirements for human review of irreversible decisions, disclosure of AI-generated content, and ongoing compliance monitoring. It also addresses the Plan and Design stage through prohibited use cases and the Verify and Validate stage through compliance review requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers AI systems and generative AI. It addresses specific AI applications including biometric identification, deepfakes, and decision-making systems. There is no mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.