If you are planning to use AI in a new workflow, service, or institutional process, UNT System provides a review pathway to help assess the request and guide next steps. Reviews are designed to support responsible adoption of AI by considering factors such as data use, compliance obligations, privacy, accessibility, security, and institutional impact.
Depending on the nature of the request, it may move through a Lite Review or a Comprehensive Review and may be resolved through guidance, committee review, or an enterprise governance review.
UNT will regularly evaluate and update governance structures and processes to ensure they remain efficient, transparent, and responsive to the university’s mission and evolving needs.
A streamlined governance review focused on accessibility, branding alignment, usability, and basic compliance.
A full governance assessment including UX evaluation, accessibility auditing, SEO analysis, component review, and modernization recommendations.
Governance reviews may result in updated standards, improved accessibility, streamlined workflows, optimized components, and modernization recommendations.
Teams receive guidance, implementation support, and governance recommendations.
Reviews may be escalated for broader governance and technical discussion.
Enterprise review may be required for institution-wide technology initiatives.
In some cases, a request may be redirected to the appropriate operational process, such as a UNiTyAI request, an M365 Copilot request, or an AI Review - depending on what is being requested.