New Hampshire House Bill 1596

• 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: 2024-08-02

Risk subdomain coverage

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

• False or misleading information
• Pollution of information ecosystem
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation
• Lack of transparency or interpretability

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

• Overreliance and unsafe use

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4-5 subdomains, with strong focus on malicious actors (4.1 Disinformation, surveillance, and influence at scale; 4.3 Fraud, scams, and targeted manipulation), misinformation (3.1 False or misleading information; 3.2 Pollution of information ecosystem), and human-computer interaction (5.1 Overreliance and unsafe use). Coverage is concentrated in misinformation, malicious use, and electoral integrity domains.

Sector coverage

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

• Information
• Public Administration (excl. National Security)

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

• Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (media, broadcasting, online platforms) and Public Administration (electoral processes, election officials). It also has minimal coverage of Professional and Technical Services through references to legal services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state statute enacted by the New Hampshire legislature with clear prohibitions, mandatory disclosure requirements, enforcement mechanisms including injunctive relief and damages, and legal penalties for non-compliance.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: New Hampshire Senate and House of Representatives
• Summary: The document is a state legislative act enacted by the New Hampshire General Court, which consists of the Senate and House of Representatives, as indicated in the enacting clause.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Entities: persons, corporations, committees, or other entities distributing AI-generated deepfakes; interactive computer service providers; radio or television broadcasting stations or networks; newspapers; magazines; cable or satellite radio or television operators; programmers; producers; Internet websites or online platforms
• Summary: The law targets any person, corporation, committee, or other entity that distributes AI-generated deepfakes of candidates within 90 days of elections. It also explicitly addresses various media platforms and service providers through exemptions and conditions.

Enforcer

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: Courts (judicial system); candidates; election officials
• Summary: Enforcement is conducted through the judicial system via private rights of action. Affected candidates and election officials can seek injunctive relief and damages through courts, which have authority to award remedies and attorneys' fees.

Monitor

• Entity Types: Affected_Stakeholder
• Entities: Candidates; election officials
• Summary: The law does not establish a formal monitoring body. Instead, monitoring is implicitly delegated to affected candidates and election officials who must identify violations and bring legal actions. There is no designated regulatory agency for systematic monitoring.

AI Lifecycle Stages

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

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on the distribution and use of AI-generated content in political contexts. It does not substantially cover earlier stages like planning, data collection, or model development.

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 artificial intelligence, generative AI, synthetic media, and deepfakes. It does not mention frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds. The focus is on AI systems capable of generating manipulated media content.