Prohibits digital impersonation using AI to deceive voters in Arizona elections. Allows candidates or citizens to seek declaratory relief within two years of impersonation. Shields service providers from liability for third-party content. Requires clear and convincing evidence for relief.
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 primarily addresses risks related to malicious actors (4.1, 4.3) and misinformation (3.1, 3.2), with good coverage of AI-generated disinformation and fraud through digital impersonation. It also addresses human-computer interaction risks (5.1) related to deception and governance mechanisms (6.5) through legal remedies.
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 primarily governs the Information sector (media, broadcasting, telecommunications) and Public Administration sector (elections, political processes). It addresses AI-generated content in political campaigns and electoral contexts, with implications for media publishers and political communications.
Hard Law
Legislative Status Summary
This is a binding state statute enacted by the Arizona Legislature with mandatory legal obligations, enforcement mechanisms through the court system, and specific remedies including declaratory relief, injunctive relief, and damages.
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 does not focus on specific AI lifecycle stages but rather addresses the deployment and use of AI-generated content (digital impersonations) in the context of elections and public discourse. It primarily governs the post-deployment phase where AI-generated content is published and distributed.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly addresses AI-generated synthetic media created using deep generative methods and artificial intelligence techniques. It focuses on generative AI capabilities for creating convincing audio, video, and image impersonations. The document does not mention AI models, systems, or specific technical categories like frontier AI, GPAI, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.