tapping into artificial intelligence: Advanced technology to prevent crime and support reentry.

The article explores the potential application and benefits of artificial intelligence in crime prevention and offenders' participation with reentry programming. Topics covered include the challenge faced by community supervision officers in managing caseloads, the advantages of using advanced machi...

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Publicado en:Corrections Today Vol. 82; no. 3; pp. 28 - 32
Autores principales: Martin, Eric, Moore, Angela
Formato: Artículo
Publicado: American Correctional Association May/Jun2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: American Correctional Association
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        atl: tapping into artificial intelligence: Advanced technology to prevent crime and support reentry.
      aug:
        au:
          Martin, Eric
          Moore, Angela
        affil:
          Social science analyst for the Office of Research, Evaluation, and Technology at the National Institute of Justice
          Senior science advisor for the Office of Research, Evaluation, and Technology at the National Institute of Justice
      su:
        National Institute of Justice (U.S.)
        Artificial intelligence
        Crime prevention
        Deinstitutionalization of prisoners
        Community-based corrections
        Community supervision
      sug:
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          Artificial intelligence
          Crime prevention
          Deinstitutionalization of prisoners
          Community-based corrections
          Community supervision
          National Institute of Justice (U.S.)
          Other Residential Care Facilities
      ab: The article explores the potential application and benefits of artificial intelligence in crime prevention and offenders' participation with reentry programming. Topics covered include the challenge faced by community supervision officers in managing caseloads, the advantages of using advanced machine learning algorithms in detecting trends, and research and development projects funded by the National Institute of Justice.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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