Minnesota Senate Bill 2909

Require the Minnesota Fusion Center (MNFC) to annually report on the use of surveillance technologies, including artificial intelligence, types of activities monitored, and inter-agency data sharing. Involves AI governance and data practices oversight.

  • Authority: Minnesota
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2023-05-16

Risk subdomain coverage

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

  • Compromise of privacy
  • Disinformation, surveillance, and influence at scale
  • Governance failure
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with focus on surveillance and data practices (4.1), privacy concerns (2.1), and governance oversight (6.5). Coverage is concentrated in transparency and accountability mechanisms for surveillance technology use.

Sector coverage

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

  • Public Administration (excl. National Security)
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs Public Administration (excluding National Security) through oversight of the Minnesota Fusion Center's surveillance and data analysis activities. It also has significant coverage of National Security given the Fusion Center's role in terrorism-related intelligence and coordination with federal security agencies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative instrument (Senate Bill) that creates mandatory reporting obligations with specific requirements and deadlines for a state government agency.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Minnesota State Legislature; Minnesota Senate
  • Summary: This is a Minnesota Senate Bill, indicating it was proposed by the Minnesota State Legislature through the Senate.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Minnesota Fusion Center (MNFC); Superintendent (of the Bureau of Criminal Apprehension)
  • Summary: The bill directly targets the Minnesota Fusion Center and its superintendent, requiring them to prepare annual reports on surveillance technologies and data practices.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Minnesota Legislature; House of Representatives committees with jurisdiction over data practices and public safety; Senate committees with jurisdiction over data practices and public safety
  • Summary: The Minnesota Legislature, through its committees with jurisdiction over data practices and public safety, serves as the enforcement body by receiving and reviewing the mandatory reports.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Minnesota Legislature committees; Public (through website posting)
  • Summary: Legislative committees monitor compliance through annual report review, and the public has monitoring access through required website posting of reports.

AI Lifecycle Stages

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

  • Collect and Process Data
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document focuses primarily on the Operate and Monitor stage of the AI lifecycle, requiring annual reporting on surveillance technologies including artificial intelligence that are already in use. There is minimal coverage of deployment through reporting requirements about technologies utilized.

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 explicitly mentions artificial intelligence as one type of surveillance and data analysis technology utilized by the MNFC. It does not define AI or distinguish between different types of AI systems, models, or capabilities. The focus is on reporting requirements for AI technologies already in operational use.

https://www.revisor.mn.gov/bills/bill.php?b=senate&f=sf2909&ssn=0&y=2023
https://agora.eto.tech/instrument/1764
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.