This working group will address the pros and cons of the use of Artificial Intelligence and associated technologies for government agencies and the private sector by providing useful information to help them make their decisions on utilizing AI-based technologies in their organization.

The Background Check Working Group (WG) focus is on non-law enforcement background checks. The purposes of the Background Check WG are to create a specific recommendation for conducting non-law enforcement background checks within the Justice and Health and Human Services (HHS) domains; to serve as a resource of shared information to IJIS membership regarding non-law enforcement background checks; and, gather information about non-law enforcement background check processes for each state

The primary mission of the CAD-ITWG is to facilitate both the development of technology solutions and the supporting policies that define technology interactions. The CAD-ITWG is established under the IJIS Law Enforcement Advisory Committee (LEAC).

The Working Group is dedicated to evaluating the impacts of the CJIS Security Policy, ensuring its alignment with broader security controls, and facilitating educational and informational initiatives to enhance understanding and implementation.

The purpose of this group of subject matter experts is to identify and review tools, processes, techniques, and practices that can yield immediate benefits for the IJIS domains of focus. Additionally, this group will be dedicated to developing standards, best practice guides, and recommendations to help increase defenses to the growing cyber threats to our communities nationwide.

This working group will address the issue that criminal justice agencies and solution providers face regarding data quality.

The ECCE-WG focuses on supporting Emergency Communications Centers (ECCs) and the impacts of staffing challenges, potential for remote work and the impact of technological advances on the ECCs.

This working group will focus on the advancement of information-sharing that is data-driven standards within the Law Enforcement (LE) communities.

Sharing of personal information is critical to tie-together a person's involvement in the criminal/civil justice ecosystem. Additionally, this information is subject to policy constraints, will help the entire criminal/civil justice system assess and focus on outcomes - including reducing re-incarceration rates. This group's main priority is to create a model that focuses on a person's involvement across the criminal/civil justice system and illustrates the view of a single person's multiple episodes of system involvement, across a lifetime.