AI Enabled Community Supervision for Criminal Justice Services, 2020-2023 (ICPSR 38996)

Principal Investigator(s): View help for Principal Investigator(s)
Marcus Rogers, Purdue University; Umit Karabiyik, Purdue University; Sudhir Aggarwal, Florida State University; Carrie Pettus, Florida State University; Tathagata Mukherjee, University of Alabama in Huntsville; Haeyong Chung, University of Alabama in Huntsville

This is an external resource to which ICPSR links as a courtesy. These data are not available from ICPSR. Users should consult the data owners (via AI Enabled Community Supervision for Criminal Justice Services, 2020-2023) directly for details on obtaining these resources.

Slide tabs to view more

This project aimed to revolutionize the reentry process for justice-involved individuals (JII) by harnessing the power of artificial intelligence (AI) and advanced technologies. The centerpiece of the endeavor is the AI-based Support and Monitoring System, or AI-SMS, a cutting-edge platform designed to assist JII and their dedicated caseworkers in their journey to reintegrate seamlessly into the community. While the primary focus is on JII, the researchers recognize the critical role played by caseworkers-clinically trained individuals who facilitate the reentry process from a community perspective.

AI-SMS was conceived to be a multifaceted tool that provides case workers with early warning indicators of risky behavior and equips JII with the means and strategies to mitigate these risks, aligning with best practices in hybrid supervision. At its core, the system is committed to delivering personalized resources and opportunities to JII, complementing the support offered by caseworkers.

United States Department of Justice. Office of Justice Programs. National Institute of Justice (2019-75-CX-K001)