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                            Library & Multimedia
 Specialized Smartphones Could Keep Released Offenders on Track for Successful Reentry
NCJ Number
              254614

Author(s)
          Brannon Green;
                        Christopher Rigano
Date Published

April 2020
Length
              4 pages
Annotation
              This article presents a new line of research that envisions mobile devices tapping into artificial intelligence to make inmate reentry more efficient and more likely to succeed for offenders, their supervisors, and communities.
Abstract
              The National Institute of Justice is seeking new ways to use smartphones and other mobile devices to help offenders returning to the community. It recently funded a Purdue University research team to partner with Tippecanoe County, Indiana, to develop an artificial intelligence-based system to monitor and support offender reentry. That system will be deployed within Tippecanoe County Community Corrections and its data will be analyzed to determine areas for improvement. The study plan calls for testing an artificial intelligence-based Support and Monitoring System (AI-SMS) on offenders who will be provided with smartphones and wearable biometric devices or bracelets. A total of 250 randomly selected offenders will participate in the study, with half assigned to a treatment group and the other half assigned to a control group. This article discusses this research, as well as how artificial intelligence can advance a variety of reentry services.
      
  
          Additional Details
Grant Number(s)
        2019-75-CX-K001


  
  
        
  Agencies
        NIJ


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description
                                Grants and Funding


  
  
        
  Award
        AI Enabled Community Supervision for Criminal Justice Services
    
  
  
Date Published: April 1, 2020
    
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Related Datasets
        
                      http://www.icpsr.umich.edu/icpsrweb/NACJD/studies/38996
                  https://purr.purdue.edu/publications/4428/1
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