Hawaii Senate Bill 2284 (Relating To A Wildfire Forecast System For Hawaii)

• Authority: Hawaii
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-08-07

Risk subdomain coverage

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

• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with only implicit references to AI system safety and failures (7.3 Lack of robustness) through the requirement for an effective wildfire forecast system. The document does not explicitly address AI risks, harms, or mitigation measures, focusing instead on establishing a development program.

Sector coverage

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

• Educational Services

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

• Scientific Research & Development Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Educational Services sector by mandating the University of Hawaii to develop an AI wildfire forecast system. It also has implications for Public Administration (public safety and emergency preparedness) and potentially Scientific Research and Development Services through the AI system development activities.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the Hawaii State Legislature that creates mandatory obligations with appropriated funding and reporting requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Hawaii State Legislature
• Summary: The document is a legislative bill enacted by the Hawaii State Legislature, as indicated by the enactment clause and legislative authority.

Target

• Entity Types: AI_Developer
• Entities: University of Hawaii
• Summary: The University of Hawaii is explicitly designated as the entity required to establish and implement the AI-based wildfire forecast system development program.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Hawaii State Legislature
• Summary: The Legislature maintains enforcement authority through its appropriation power and mandatory reporting requirements, with oversight through the 2026 report submission.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Hawaii State Legislature
• Summary: The Legislature will monitor program effectiveness through the mandatory report on program effectiveness, findings, and recommendations due before the 2026 session.

AI Lifecycle Stages

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

• Plan and Design
• Build and Use Model
• Verify and Validate

AI Lifecycle Summary

The document covers the Plan and Design stage by establishing a program to develop an AI wildfire forecast system. It implicitly addresses Build and Use Model through the development requirement, and includes Verify and Validate through the effectiveness reporting mandate. The document does not explicitly cover data collection, deployment, or operational monitoring stages.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly mentions artificial intelligence in the context of developing a wildfire forecast system. It does not define or distinguish between AI models, AI systems, or specific types of AI such as frontier, general purpose, task-specific, foundation models, generative, or predictive AI. No compute thresholds or open-weight models are mentioned.