Minnesota HF 1370 (Deepfake Accountability and Public Safety)

• Authority: Minnesota
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-05-26

Risk subdomain coverage

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

• Exposure to toxic content
• Compromise of privacy
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation

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

• Pollution of information ecosystem
• AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses risks related to malicious actors (4.1, 4.3), misinformation (3.1, 3.2), and privacy/security (2.1). It has strong focus on preventing deepfake-based fraud, manipulation, and disinformation, particularly in electoral and sexual contexts. Coverage is concentrated in malicious use prevention and information integrity 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.

• Information
• Scientific Research & Development Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation

All other sectors had no coverage in this document.

Sectors Summary

This legislation applies broadly across all sectors where deepfake technology could be disseminated, with particular emphasis on political/electoral contexts and social media platforms. The law does not limit itself to specific industries but rather regulates the act of deepfake dissemination regardless of sector.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative statute enacted by the Minnesota Legislature establishing criminal penalties, civil causes of action, and enforcement mechanisms for deepfake-related violations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Minnesota Legislature
• Summary: The document is a bill enacted by the Minnesota Legislature, as indicated in the opening legislative language.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Summary: The law targets any person who disseminates deepfakes, which includes developers who create and distribute deepfake technology, deployers who use such technology, and individual users who disseminate deepfake content. The broad language 'a person who disseminates' encompasses all these categories.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: courts; attorney general; county attorney; city attorney
• Summary: The document explicitly identifies multiple government enforcement entities including courts for adjudication, and various prosecutorial offices for bringing actions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: courts
• Summary: Courts are implicitly responsible for monitoring compliance through their role in adjudicating cases, issuing injunctions, and enforcing court orders with ongoing civil fines for non-compliance.

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 does not focus on specific AI lifecycle stages but rather on the deployment and use of deepfake technology. It primarily addresses the dissemination (deployment) and operational use of deepfakes, with no coverage of design, data collection, model building, or validation stages.

Technical Scope

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

• Generative AI

Technical Scope Summary

The document explicitly defines and regulates 'deep fake' technology but does not distinguish between AI models, AI systems, or specific categories like frontier AI, general purpose AI, or foundation models. It focuses on the output (deepfakes) rather than the underlying technical architecture. No compute thresholds or model types are specified.