Date of Conferral

5-23-2025

Date of Award

May 2025

Degree

Doctor of Information Technology (D.I.T.)

School

Information Systems and Technology

Advisor

Bob Duhainy

Abstract

The underutilization of AI in Texas state courtrooms challenges judicial efficiency, fairness, and transparency. Despite AI’s potential to enhance evidence management and decision-making, its adoption remains limited. Legal professionals and information technology (IT) managers stress the need for strategies to address these barriers and promote equitable justice. The purpose of this qualitative multiple-case study, which was grounded in the technology acceptance model, diffusion of innovation theory, and unified theory of acceptance and use of technology, was to explore strategies IT managers use to implement AI in criminal justice information systems. Semi-structured interviews and organizational documents provided data for thematic analysis, revealing five themes: (a) mixed attitudes toward AI; (b) challenges in technology use, including resource disparities; (c) barriers like budget constraints and limited training; (d) the irreplaceable role of human judgment; and (e) opportunities for advancements such as AI-driven bias detection and standardization. The findings emphasize the importance of balancing AI’s efficiency with human oversight to ensure fairness and ethical decision-making. A key recommendation is that IT leaders implement training programs, secure funding to reduce disparities, and launch pilot initiatives to build confidence in the practical benefits of AI. The implications for positive social change include the potential to enhance procedural efficiency, ensure equitable justice, and foster public trust by offering strategies to integrate AI into courtrooms.

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