Minnesota HF3980 mandates online platforms to disclose algorithm use, ensure design transparency, and provide user choice, with civil penalties for.
Minnesota HF3980 requires online platforms operating in the state to provide detailed information about their algorithmic recommender systems, including a list of systems used, input descriptions, and weight categorizations. These platforms must also ensure their algorithms maximize long-term user value and allow users to express preferences regarding recommendations. The bill mandates annual independent audits of long-term holdout assessments and requires platforms to disclose high-level objectives and performance metrics for algorithmic design.
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- Overview
- Core Provisions
- Implementation
- Impact
- Legal Framework
- Critical Issues
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