Oregon Senate Bill 5701

Increases funding by $100,000 for the University of Oregon Labor Education and Research Center to research AI and automation's potential workforce impacts across Oregon's key economic industries.

  • Authority: Oregon
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-04-17

Risk subdomain coverage

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

  • Increased inequality and decline in employment

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of risk domains, with only subdomain 6.2 (Increased inequality and decline in employment quality) receiving a coverage score above 1. The document focuses on funding research to understand workforce impacts of AI and automation, which directly relates to employment quality concerns, but does not address specific governance measures or mitigations for AI risks.

Sector coverage

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

  • Scientific Research & Development Services
  • Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document does not govern AI use in specific sectors. Instead, it funds research to study AI and automation impacts across Oregon's key economic industries broadly. The research itself will examine multiple sectors, but the bill does not regulate AI activities within any particular industry.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative appropriation that legally allocates state funds for a specific purpose, enacted through the Oregon legislative process.

Actors

Proposer

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

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Higher Education Coordinating Commission; University of Oregon Labor Education and Research Center
  • Summary: The document targets the Higher Education Coordinating Commission as the recipient of the appropriation, which is then to distribute funds to the University of Oregon Labor Education and Research Center.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Higher Education Coordinating Commission
  • Summary: The Higher Education Coordinating Commission is responsible for receiving and distributing the appropriated funds, effectively enforcing the budget allocation.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Higher Education Coordinating Commission
  • Summary: The Higher Education Coordinating Commission would be responsible for monitoring the use of appropriated funds and ensuring they are used for the specified research purpose.

AI Lifecycle Stages

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

No lifecycle stages identified.

AI Lifecycle Summary

This document does not directly govern any specific AI lifecycle stage. It funds research to understand AI and automation impacts on the workforce, which is a preparatory activity that may inform future governance but does not itself regulate AI development, deployment, or operation.

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 both 'automation and artificial intelligence' in general terms as subjects of workforce impact research. It does not define or specify any particular type of AI system, model, or technical threshold.

https://olis.oregonlegislature.gov/liz/2024R1/Measures/Overview/SB5701
https://agora.eto.tech/instrument/1769
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Document data from AGORA, CSET Emerging Technology Observatory.