HB1261
Law-enforcement agencies; use of certain technology & interrogation practices; forensic laboratory.
Status:
In House
Latest Action:
Feb. 2, 2026
House: Continued to next session in Communications, Technology and Innovation (Voice Vote)
Chief Patron:
Jackie Glass (D)
Session:
2026 Regular Session
Summary
As Introduced. Law-enforcement agencies; use of certain technologies and interrogation practices; forensic laboratory accreditation.
Directs the Department of Criminal Justice Services (the Department) to establish a comprehensive framework for the use of generative artificial intelligence (AI) systems, machine learning systems, audiovisual surveillance technologies, and custodial and noncustodial interrogations of adults and juveniles by law-enforcement agencies, which shall include (i) developing policies and procedures and ... (More) publishing model policies for the use of generative AI, machine learning systems, and audiovisual surveillance technologies and interrogation practices and (ii) establishing compulsory minimum training standards for basic training and recertification of law-enforcement officers in the use of generative AI, machine learning systems, and audiovisual surveillance technologies and in conducting interrogations. The bill provides that the Department shall establish and publish such model policies by January 1, 2027, and that all law-enforcement agencies shall adopt policies consistent with such model policies by July 1, 2027. The bill requires any person employed as a law-enforcement officer prior to July 1, 2026, to complete the training required by the bill by January 1, 2030. (Less)-
Bill History
- 01/14/2026 - House: Prefiled and ordered printed; Offered 01-14-2026 26103194D
- 01/14/2026 - House: Referred to Committee on Communications, Technology and Innovation
- 01/29/2026 - House: Fiscal Impact Statement from Department of Planning and Budget (HB1261)
- 01/30/2026 - House: Placed on Communications, Technology and Innovation Agenda
- 02/02/2026 - House: Continued to next session in Communications, Technology and Innovation (Voice Vote)
