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Transforming Justice: Implications of Artificial Intelligence in Legal Systems

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  • Alfonso Renato Vargas-Murillo
  • Ilda Nadia Monica de la Asuncion Pari-Bedoya
  • Adriana Margarita Turriate-Guzman
  • Cintya Amelia Delgado-Chávez
  • Franshezka Sanchez-Paucar

Abstract

The present literature review explores the growing impact of artificial intelligence (AI) on the justice system. It sheds light on the prospects, obstacles, and probable consequences of its assimilation. Utilizing a broad array of scholarly resources, we examine the implementation of AI in various domains, including but not limited to predictive law enforcement, risk evaluation, evidentiary analysis, and judicial decision-making. The review recognizes the advantages of artificial intelligence, such as enhanced efficacy, precision, and impartiality in legal proceedings, while also expressing apprehensions regarding potential partialities, ethical predicaments, and risks to confidentiality and human liberties. Furthermore, it is crucial to underscore the significance of interdisciplinary cooperation and comprehensive regulatory frameworks in guaranteeing the judicious and impartial integration of AI technologies in the justice system. The present study endeavors to make a significant scholarly contribution to the ongoing discourse surrounding artificial intelligence and its intersection with the legal field. By examining the opportunities and challenges of integrating AI in legal systems, this review provides specific insights into formulating policies around algorithmic accountability, transparency, and ethical safeguards to ensure responsible AI adoption.

Suggested Citation

  • Alfonso Renato Vargas-Murillo & Ilda Nadia Monica de la Asuncion Pari-Bedoya & Adriana Margarita Turriate-Guzman & Cintya Amelia Delgado-Chávez & Franshezka Sanchez-Paucar, 2024. "Transforming Justice: Implications of Artificial Intelligence in Legal Systems," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 13, March.
    • Handle: RePEc:bjz:ajisjr:2570
    DOI: https://doi.org/10.36941/ajis-2024-0059
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    References listed on IDEAS

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    1. Christian Engel & Philipp Ebel & Jan Marco Leimeister, 2022. "Cognitive automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 339-350, March.
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