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Washington State Bill Analysis — HB 2157, Technology, Economic Development, & Veterans Committee

Summary

House Bill Analysis of HB 2157, Regulating high-risk artificial intelligence system development, deployment, and use, prepared by the Office of Program Research for the Technology, Economic Development, & Veterans Committee, with a hearing date of 1/14/26. The sponsors are Representatives Ryu, Stearns, Ramel, Parshley and Reeves. The summary of the bill says a developer of a high-risk AI system is required to use reasonable care to protect consumers from known or reasonably foreseeable risks of algorithmic discrimination, and that a person may file a civil action against a developer or deployer. It lists a cure period of 45 days as an affirmative defense, Appropriation: None, a fiscal note requested on January 6, 2026 and an effective date of January 1, 2027.

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“Washington State Bill Analysis — HB 2157, Technology, Economic Development, & Veterans Committee.” Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/2026-01-27-a33763-d290418-bill-analysis-f6ffcd908f/, SHA-256 33e02936856c458d91359fb7b29c251fc09367d8b1dab0e6da2dd37c8ab5dc45.

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Washington State                    BILL
House of Representatives
Office of Program Research   ANALYSIS
Technology, Economic Development, &
Veterans Committee
                                        HB 2157
Brief Description: Regulating high-risk artificial intelligence system development, deployment,
     and use.

Sponsors: Representatives Ryu, Stearns, Ramel, Parshley and Reeves.


                                     Brief Summary of Bill
          • Establishes that developers and deployers of high-risk artificial
            intelligence (AI) systems are required to use reasonable care to protect
            consumers from algorithmic discrimination.
          • Establishes requirements for developers and deployers of high-risk AI
            systems relating to transparency and risk management.


Hearing Date: 1/14/26

Staff: Emily Poole (786-7106).

Background:

Artificial intelligence (AI) is defined and understood in different ways. The National Institute of
Standards and Technology, in its AI Risk Management Framework, defines an AI system as an
engineered or machine-based system that can, for a given set of objectives, generate outputs such
as predictions, recommendations, or decisions influencing real or virtual environments.

In 2024 the Legislature established the AI Task Force, administered by the Office of the
Attorney General. The Task Force is tasked with assessing current uses and trends of AI and
making recommendations to the Legislature regarding guidelines and potential legislation for the




     This analysis was prepared by non-partisan legislative staff for the use of legislative
     members in their deliberations. This analysis is not part of the legislation nor does it
     constitute a statement of legislative intent.

House Bill Analysis                             -1-                                         HB 2157
use of AI systems.

Summary of Bill:

Operating Standards for Developers of High-Risk AI Systems.
A developer of a high-risk AI system is required to use reasonable care to protect consumers
from known or reasonably foreseeable risks of algorithmic discrimination arising from the
intended and contracted uses of the AI system.

Subject to certain exceptions, a developer may not provide a high-risk AI system to a deployer or
other developer unless the developer makes available:
    • a statement disclosing the intended uses of the system;
    • documentation disclosing certain information, including: the known or reasonably known
      limitations of the system; the purpose of the system and its intended outputs, benefits, and
      uses; a summary describing how the system was evaluated for performance and for
      mitigation of algorithmic discrimination; and a description of how the system should be
      monitored when used to make a consequential decision; and
    • any additional documentation that is reasonably necessary to assist the deployer or other
      developer in understanding the outputs and in monitoring for risks of algorithmic
      discrimination.

A developer that makes a high-risk AI system available to a deployer or other developer is
required to also make available certain information to enable the deployer, other developer, or a
third-party contractor to complete required impact assessments.

Subject to certain exceptions, a developer of a high-risk generative AI system must ensure that
the outputs of such system: (1) are identifiable and detectable in an accessible manner; (2)
comply with applicable accessibility requirements; and (3) apply such identification at the time
the output is generated.

Operating Standards for Deployers of High-Risk AI Systems.
A deployer of a high-risk AI system is required to use reasonable care to protect consumers from
known or reasonably foreseeable risks of algorithmic discrimination.

A deployer may not deploy a high-risk AI system to make a consequential decision unless the
deployer has implemented a risk management policy and program. Subject to certain exceptions,
a deployer that uses a high-risk AI system to make a consequential decision must have also
completed an impact assessment. The impact assessment must include certain required contents,
including information about the system's purpose and deployment context, the risks of
algorithmic discrimination, the intended use cases, the system's inputs and outputs, system
customizations, performance metrics, transparency measures, monitoring and safeguards, and the
system's validity and reliability, among other information.

At or before the time that a deployer uses a high-risk AI system to interact with a consumer, the


House Bill Analysis                            -2-                                        HB 2157
deployer is required to disclose to the consumer that the consumer is interacting with an AI
system. The disclosure must include certain other information, including the purpose and nature
of the system, the nature of the consequential decision, deployer contact information, and a
description of the AI system in plain language.

A deployer that uses a high-risk AI system to make a consequential decision must send the
decision to the consumer without undue delay. If the decision is adverse to the consumer and
based on personal data beyond information that the consumer provided, the deployer must
disclose the principal reasons for the decision, including the degree to which the high-risk AI
system contributed to the decision.

A deployer is required to make available a summary of how the deployer manages reasonably
foreseeable risks of algorithmic discrimination that may arise from the use of the high-risk AI
system.

Exceptions.
Several exemptions are established, including for certain AI systems that are acquired by or for
the federal government. Other exempt entities include regulated financial institutions, certain
insurers, and certain health care entities, among other entities.

Compliance with Risk Management Frameworks.
High-risk AI systems that are in conformity with certain national or international AI risk
management frameworks are presumed to be in compliance with applicable requirements for
developers and deployers. In addition, a deployer's risk management policy and program are
presumed to be in compliance with applicable requirements if they align with certain national or
international AI risk management frameworks.

Enforcement.
A person may file a civil action against a developer or deployer for a violation of the bill's
requirements. In such an action, there is a rebuttable presumption that a developer or deployer of
a high-risk AI system used reasonable care if the developer or deployer was in compliance with
applicable requirements.

If a court finds that the developer or deployer violated applicable requirements, the court may
enjoin the violation and award reasonable attorneys' fees and costs. It is an affirmative defense
that the developer or deployer: discovered a violation; cured the violation within 45 days;
provided notice and evidence to the person bringing the civil action that the violation has been
cured; and is otherwise in compliance with applicable requirements.

Definitions.
Several terms are defined, including "algorithmic discrimination," "consequential decision," and
"high-risk artificial intelligence system," among others.

Appropriation: None.


House Bill Analysis                            -3-                                         HB 2157
Fiscal Note: Requested on January 6, 2026.

Effective Date: The bill takes effect on January 1, 2027.




House Bill Analysis                           -4-           HB 2157


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