A team of computer scientists has a well-intentioned but thorny plan to reduce recidivism, the rate at which prisoners return to prison once released, and it involves constantly monitoring them as they go about their lives. The idea? Giving parolees (who would volunteer for this program) smartphones and biometric wearables to monitor their biological data, pictures they take, and location information, all in the hopes of training artificial intelligence to identify patterns linked to regressions into criminal behavior. Insights that help keep people out of prison could be useful, of course, but how this program would glean those insights is (to put it lightly) ethically fraught. The Purdue scientists mention in a press release that the AI algorithm they created would analyze data in clumps, rather than in real-time. The study design would leave half of the volunteers, who are already members of a vulnerable population, entirely to their own devices, calling into question the point of them participating at all.

Starting a new life is difficult for criminals transitioning from prison back to regular society. To help those individuals, 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. Results of a U.S. Department of Justice study indicated more than 80 percent of people in state prisons were arrested at least once in the nine years following their release. 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.

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.

Starting a new life is difficult for criminals transitioning from prison back to regular society. To help those individuals, 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. Results of a U.S. Department of Justice study indicated more than 80 percent of people in state prisons were arrested at least once in the nine years following their release. 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.

Purdue professors are trying to eliminate a return to prison for recently released criminals by using artificial intelligence research to lower the rate at …

Starting a new life is difficult for criminals transitioning from prison back to regular society. To help those individuals, 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. Results of a U.S. Department of Justice study indicated more than 80 percent of people in state prisons were arrested at least once in the nine years following their release. 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.

One key to solving Alabama's prison crisis could lie in artificial intelligence. The University of Alabama in Huntsville is leading the charge. The artificial intelligence technology would be used through an app. Parolees would be required to download it, and it would give resources to the parolee and parole officer. The man behind this idea believes it is his way of serving a community he has once dealt with.