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Bill

HF 4445

Use of automated decision systems in employment settings regulated.

2025-2026 Regular Session Introduced by David Gottfried

Minnesota bill regulating employers' use of AI and algorithms in hiring, firing, and employment decisions to ensure transparency and prevent discrimination.

Introduction and first reading, referred to Workforce, Labor, and Economic Development Finance and Policy
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Bill Summary · HF 4445

Legislative bill overview

HF 4445 would establish regulatory requirements for the use of automated decision systems (algorithms, AI tools, etc.) in employment settings in Minnesota. The bill aims to govern how employers can deploy technology to make or significantly influence hiring, firing, promotion, compensation, and other employment decisions.

Why this is important

As employers increasingly use AI and algorithmic tools for recruitment screening, performance evaluation, and workforce management, concerns have grown about potential discrimination, lack of transparency, and workers' inability to challenge automated decisions. This bill would create a framework to address these issues, potentially affecting thousands of Minnesota employers and hundreds of thousands of workers.

Potential points of contention

  • Compliance burden: Businesses, particularly small employers, may argue the regulatory requirements create costly administrative obligations and slow hiring processes
  • Definition scope: Disagreement over what qualifies as an "automated decision system" and which employment decisions should be covered (screening resumes vs. shift scheduling, for example)
  • Innovation concerns: Tech companies and employers may worry strict regulations could disadvantage Minnesota businesses compared to competitors in states with lighter oversight
  • Enforcement mechanism: Unclear whether enforcement falls to state agencies, enables private lawsuits, or both—affecting liability exposure and legal costs

Compiled from official sources — confirm details with the bill’s official record.

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