Washington Senate Bill 5950

Provide $300,000 in 2024 and $500,000 in 2025 for Seattle to lease space for technology startups, focusing on AI, and to develop curricula for worker skills in AI as a business resource.

  • Authority: Washington
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-03-29

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It is a funding appropriation bill that provides resources for AI-related education and business incubation, but does not address specific AI risks, harms, or governance measures related to any of the MIT taxonomy risk subdomains.

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.

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

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Educational Services sector through AI curricula development and worker training programs. It also has coverage of the Scientific Research and Development Services sector through support for technology startup incubation, and the Professional and Technical Services sector through business resource development.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative appropriation bill that allocates specific state funds with mandatory language requiring the funds be used for designated purposes.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Washington State Legislature
  • Summary: This is a Washington Senate Bill, indicating it was proposed by the Washington State Legislature through its legislative process.

Target

  • Entity Types: AI_Governance_Actor, AI_Developer
  • Entities: City of Seattle; nonprofit and academic institutions; technology business startups
  • Summary: The bill provides funds to the City of Seattle to support nonprofit and academic institutions that incubate technology startups focusing on AI and develop AI curricula for workers.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Washington State Budget Office; Washington State Legislature
  • Summary: As a budget appropriation, enforcement would be handled by state fiscal authorities ensuring funds are used as designated.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Washington State Budget Office
  • Summary: State budget oversight bodies would monitor compliance with appropriation requirements, though no specific monitoring body is named in this brief document.

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

AI Lifecycle Summary

The document does not directly govern specific AI lifecycle stages but rather provides funding for education and business incubation related to AI. It indirectly supports the 'Plan and Design' stage through startup incubation and the 'Build and Use Model' stage through worker skills development.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document mentions artificial intelligence in general terms as a focus area for technology startups and worker training, but does not define or distinguish between different types of AI systems, models, or technical specifications.

https://fiscal.wa.gov/statebudgets/2024proposals/Documents/co/5950-S.SL.pdf
https://agora.eto.tech/instrument/1775
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Document data from AGORA, CSET Emerging Technology Observatory.