summary
Introduced
02/07/2025
02/07/2025
In Committee
03/12/2026
03/12/2026
Crossed Over
Passed
Dead
Introduced Session
104th General Assembly
Bill Summary
Creates the Meaningful Human Review of Artificial Intelligence Act. Sets forth provisions prohibiting a State agency, or any entity acting on behalf of an agency, from utilizing or applying any automated decision-making system, directly or indirectly, without continuous meaningful human review when performing any of the agency's specified functions. Requires impact assessments to be performed by State agencies seeking to utilize or apply an automated decision-making system with continuous meaningful human review. Provides that the impact assessment shall include a description of the objectives of the automated decision-making system; an evaluation of the ability of the automated decision-making system to achieve its stated objectives; a specified description and evaluation of the objectives and development of the automated decision-making; testing of the automated decision-making system; and the notification mechanism or procedure, if any, by which individuals impacted by the utilization of the automated decision-making system may be notified of the use of such automated decision-making system and of the individual's personal data, and informed of their rights and options relating to such use. Requires submission of impact assessments to the Governor and General Assembly.
AI Summary
This bill establishes the Meaningful Human Review of Artificial Intelligence Act, which sets strict guidelines for how state agencies can use automated decision-making systems (AI systems that make or support decisions without full human intervention). The bill requires that these systems cannot be used for functions related to public assistance benefits, individual rights, or decisions that significantly impact citizens' welfare without continuous meaningful human review. This means a trained human with the authority to modify or override the AI's decisions must be directly involved in the process. State agencies must conduct comprehensive impact assessments before implementing such systems, which must evaluate the system's objectives, accuracy, potential biases, cybersecurity risks, and privacy concerns. These assessments must specifically test for discriminatory outcomes based on characteristics like race, gender, disability, and other protected attributes. If an assessment finds discriminatory results, the agency must immediately stop using the system. Additionally, the bill protects state employees by ensuring that AI systems cannot replace human workers, reduce their hours, or alter their employment terms. Impact assessments must be submitted to state leadership, published online, and updated at least every two years or whenever the system undergoes significant changes, providing transparency and ongoing oversight of AI technologies used in government services.
Committee Categories
Military Affairs and Security
Sponsors (25)
Amy Briel (D)*,
Dee Avelar (D),
Harry Benton (D),
Mary Beth Canty (D),
Kelly Cassidy (D),
Michael Crawford (D),
Fred Crespo (D),
Lisa Davis (D),
Martha Deuter (D),
Kimberly du Buclet (D),
Laura Faver Dias (D),
Nicolle Grasse (D),
Will Guzzardi (D),
Matt Hanson (D),
Norma Hernandez (D),
Hoan Huynh (D),
Gregg Johnson (D),
Camille Lilly (D),
Yolonda Morris (D),
Kevin Olickal (D),
Aarón Ortíz (D),
Abdelnasser Rashid (D),
Rick Ryan (D),
Katie Stuart (D),
Maurice West (D),
Last Action
House Cybersecurity, Data Analytics, & IT Committee Hearing (10:00:00 3/20/2026 Room D-1 Stratton Building) (on 03/20/2026)
bill text
bill summary
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bill summary
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bill summary
| Document Type | Source Location |
|---|---|
| State Bill Page | https://www.ilga.gov/legislation/BillStatus.asp?DocNum=3567&GAID=18&DocTypeID=HB&SessionID=114&GA=104 |
| BillText | https://www.ilga.gov/legislation/104/HB/10400HB3567.htm |
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