Washington State Artificial Intelligence Task Force / AI Regulation
Compliance reference — obligations, penalties, applicability, and primary sources.
Last verified July 13, 2026
Summary
Washington ESSB 5838 (Chapter 163, Laws of 2024) is a study-and-recommendation statute, not a private-sector AI compliance regime: enacted March 18, 2024, it created the Washington State Artificial Intelligence Task Force inside the Office of the Attorney General and imposes no AI impact assessments, consumer notices, bias audits, or civil penalties on developers or deployers.
The Task Force is a 19-member body drawn from state government, the technology industry, organized labor, civil-rights and consumer-advocacy organizations, and academia. The statute directs it to assess current and emerging AI uses and to recommend guidelines or legislation, delivering three reports: a preliminary report (released December 30, 2024), an interim report (released December 1, 2025), and a final report due July 1, 2026. The task-force section of the law expires June 30, 2027. [Sources: ESSB 5838 session law; Washington Attorney General AI Task Force page and December 1, 2025 interim report, retrieved 2026-07-13.]
What the Task Force has produced. Across its reports the Task Force advanced 11 policy recommendations. During the 2025-2026 legislative biennium, Washington lawmakers introduced legislation addressing eight of those recommendations and enacted four in whole or in part: measures regulating AI "companion" chatbots, improving transparency in AI-assisted healthcare prior-authorization decisions, requiring disclosure of law-enforcement use of AI, and strengthening enforcement against AI-generated child sexual abuse material. This makes Washington's study-commission model a leading indicator of the specific AI statutes that may follow, even though SB 5838 itself imposes no compliance duties. [Source: Washington Attorney General AI Task Force interim report, December 1, 2025, retrieved 2026-07-13.]
The statutory deadline for the Task Force's final report was July 1, 2026; the Attorney General's AI Task Force page is the authoritative source for the delivered final recommendations and any proposed follow-on legislation. As of July 13, 2026, Washington still has no comprehensive AI law analogous to Colorado SB 26-189 or Texas TRAIGA. Compliance teams operating in Washington should track the final report and follow-on bills while maintaining evidence under existing Washington consumer-protection, civil-rights, privacy, and sector-specific rules. For how Washington's study-commission approach fits the broader multi-state picture, see the US state AI regulation overview.
Frequently Asked Questions
Does Washington SB 5838 require businesses to comply with AI rules?
No. ESSB 5838 is a study-and-recommendation law: it created the Washington State AI Task Force but does not impose AI impact assessments, disclosure notices, bias audits, or penalties on private-sector AI developers or deployers. Direct compliance obligations would arise only from follow-on legislation acting on the Task Force's recommendations.
What has the Washington AI Task Force recommended?
The Task Force issued 11 policy recommendations across its preliminary (December 30, 2024) and interim (December 1, 2025) reports. Washington lawmakers introduced legislation on eight of those recommendations during the 2025-2026 biennium and enacted four in whole or in part, covering AI companion chatbots, healthcare prior-authorization transparency, law-enforcement AI-use disclosure, and AI-generated child sexual abuse material.
When is the Washington AI Task Force final report due, and when does the Task Force end?
The final report was statutorily due July 1, 2026, and the Task Force section of ESSB 5838 expires June 30, 2027. The Washington Attorney General's AI Task Force page publishes each report and is the authoritative source for the final recommendations.
Build a compliance program around these obligations
A single law is one input to a broader program. These guides show how to assign accountability, map every obligation to a control, and split developer-versus-deployer duties across the systems a team operates.
- AI governance: building an AI compliance program
The operating model — owners, committee, decision rights, lifecycle gates — that turns a law into an accountable, auditable program anchored to the NIST AI RMF GOVERN function.
- AI compliance framework: the regulatory control map
How to map each AI system to the laws it triggers, the controls that satisfy them, and the evidence that proves the controls operate.
- Deployer vs developer obligations
Which duties attach to building an AI system versus putting one into use — the split most state AI laws turn on.
Sources
Every fact above is sourced from the official primary source. Independent verification recommended before acting on the information.
- Officiallawfilesext.leg.wa.gov — RCW 43.330 (related)
- app.leg.wa.gov
- www.atg.wa.gov
- agportal-s3bucket.s3.us-west-2.amazonaws.com
- www.atg.wa.gov
Last reviewed July 13, 2026. Reviewed by the AI Compliance Atlas editorial process against primary sources. Source selection, retrieval dates, and update rules are documented in the Atlas methodology.
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