Implementing Artificial Intelligence (AI) into the Judicial System in Europe: Challenges and Opportunities

Authors

  • Dr. Umair Ahmed Assistant Professor, Department of Sociology, Government College University, Lahore, Punjab, Pakistan
  • Zaryab Fatima M.Phil. Scholar, Department of Sociology and Criminology, University of Sargodha, Sargodha, Punjab, Pakistan
  • Touqeer Abbas Visiting Lecturer, Department of Sociology and Criminology, University of Sargodha, Sargodha, Punjab, Pakistan

DOI:

https://doi.org/10.35484/pssr.2024(8-I)02

Keywords:

Artificial Intelligence (AI), Human-AI Collaboration, Judicial System, Legal Technology, Regulatory Framework

Abstract

This study examines the various ways in which Artificial Intelligence (A.I.) has been incorporated into the European legal system. It includes an analysis of past trends, legal frameworks, the role of artificial intelligence in criminal justice, and the significant difficulties it presents. AI has the potential to improve productivity, lessen prejudices, and offer insights. But there are a lot of moral and legal issues. This study is noteworthy because it emphasizes the necessity of thorough inspections and legal frameworks to guarantee compliance with legal requirements and human rights. The A.I. Act proposal from the European Union is shown to be a crucial initiative. The evolution of A.I. integration is illustrated by tracing its historical background. The legal framework is examined, covering GDPR and basic rights. There are identified challenges, including data privacy, complex legal issues, and a lack of technical expertise. The study highlights how crucial it is to deal with these issues in order to use artificial intelligence (AI) responsibly within the framework of European law.

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Published

2024-01-01

Details

    Abstract Views: 1138
    PDF Downloads: 505

How to Cite

Ahmed, U., Fatima, Z., & Abbas, T. (2024). Implementing Artificial Intelligence (AI) into the Judicial System in Europe: Challenges and Opportunities. Pakistan Social Sciences Review, 8(1), 17–26. https://doi.org/10.35484/pssr.2024(8-I)02