Artificial intelligence applications are popping up everywhere these days, from our Internet browsing to smart homes and self-driving cars. Now a group of researchers is launching a new AI-led study that will collect data from recently released prisoners. The ultimate goal of the project is to identify – and, ostensibly, one day eliminate – the psychological and physiological triggers that cause recidivism among parolees.
Researchers at Purdue University Polytechnic Institute plan to monitor volunteer parolees using a panoply of AI-powered tools and methods, including smartphones and biometric wearable bracelets. These gadgets will record and analyze a variety of data, such as the ex-prisoners’ biological information (heart rate), photos, and location metadata.
According to project-leads Marcus Rogers and Umit Karabiyik, the resulting data will assist them in conducting a forensic psychological analysis. While the monitoring will be gauged in intervals – not real-time – they believe it will help build a profile of the risky behaviors and stressful triggers that recent parolees face when returning to the outside world.
Citing a Department of Justice study, the researchers say over 80 percent of prisoners released from state prisons get arrested in their first 9 years and a plurality of those prisoners get arrested in less than a year.