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HB 2503

Regulating artificial intelligence training data.

2025-2026 Regular Session Introduced by Davina Duerr and 6 co-sponsors

HB 2503 requires AI developers to regulate how they obtain and use training data, advancing through Washington's legislature with majority support and minority opposition over privacy and innovation concerns.

Referred to Appropriations.
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Bill Summary · HB 2503

Legislative bill overview

HB 2503 establishes regulatory requirements for artificial intelligence training data in Washington State, likely including transparency, consent, and data handling standards for companies using personal information to train AI systems. The bill has advanced through the House Technology Committee with a substitute version approved by the majority, though minority members opposed passage.

Why is this important

AI training data practices directly affect consumer privacy and how personal information is used without explicit consent. Washington's approach could set precedent for state-level AI regulation and influence how tech companies operate, particularly regarding scraping of online content and personal data for machine learning models.

Potential points of contention

  • Scope and compliance burden: Defining which AI activities require regulation and how stringent requirements should be may burden smaller tech companies disproportionately compared to large corporations
  • Innovation vs. protection balance: Stricter data requirements could slow AI development and research, or alternatively, weak requirements may fail to adequately protect consumers
  • Enforcement and resources: The bill's fiscal impact (now in Appropriations) depends on whether adequate funding and enforcement mechanisms are provided for state agencies to monitor compliance

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

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