AI Examines Early Intervention Opportunities for Parolees

To help prisoners transitioning back to regular society, Purdue University Polytechnic Institute researchers are using artificial intelligence to uncover risky behaviors which could then help identify when early intervention opportunities could be beneficial. A U.S. Department of Justice study found that more than 80 percent of people in state prisons were arrested at least once in the nine years following their release from prison. Almost half of those arrests came in the first year following release. Marcus Rogers and Umit Karabiyik of Purdue Polytechnic's Department of Computer and Information Technology are leading an ongoing project focused on using AI-enabled tools and technology to reduce the recidivism rates for convicted criminals who have been released. Both are examining the forensic psychology aspect by identifying risky behaviors, stressful situations, and other behavioral and physiological factors connected to a risk of individuals returning to criminal behavior. Rogers is a professor and Karabiyik is an assistant professor in the fields of digital and cyber forensics.