Alaska Senate Bill No. 177

• Authority: Alaska
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Defunct
• Most recent activity date: 2025-03-29

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
• 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
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 3-4 subdomains, with strong focus on malicious actors using AI for disinformation and fraud (4.1, 4.3), misinformation risks (3.1, 3.2), and some coverage of AI system capabilities and limitations (7.3). 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)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Information sector (media, broadcasting, telecommunications, and digital communications) and Public Administration excluding National Security (electoral processes and political communications). It regulates how AI-generated content is disclosed across various communication channels in political contexts.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state legislative bill that creates mandatory legal obligations with the force of law, using mandatory language ('shall') and establishing specific compliance requirements for communications involving deepfakes in political contexts.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Alaska State Legislature
• Summary: The document is Alaska Senate Bill No. 177, indicating it was proposed by the Alaska State Legislature through its Senate.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Summary: The bill targets any person who creates, distributes, or uses deepfake communications in political contexts. This includes AI developers creating deepfake tools, deployers using such tools for political communications, and users disseminating such content.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: While not explicitly named in this excerpt, the bill amends Alaska election statutes (AS 15.13), suggesting enforcement would fall to Alaska's election oversight authorities and potentially the Alaska Public Offices Commission or Attorney General's office.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document does not explicitly specify monitoring bodies. However, as an amendment to Alaska election law, monitoring would likely be conducted by Alaska's election oversight agencies and potentially civil society organizations monitoring political communications.

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 focuses on the Deploy and Operate and Monitor stages of the AI lifecycle, as it regulates the use and distribution of AI-generated deepfakes in political communications and requires ongoing disclosure throughout the communication's display. It does not address 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
• Task-specific AI

Technical Scope Summary

The document explicitly addresses AI systems and techniques used to create deepfakes, specifically mentioning machine learning, natural language processing, and computational processing techniques. It focuses on generative AI capabilities that create synthetic media. No mention of specific model types, compute thresholds, or open-source models.