From Bytes to Bars: The Transformative Influence of Artificial Intelligence on Criminal Justice

Authors

  • Sidra Kanwel Lecturer, Department of Law, University of Sialkot, Sialkot, Punjab, Pakistan.
  • Muhammad Imran Khan Assistant Professor, Department of Law, University of Sialkot, Sialkot, Punjab, Pakistan.
  • Muhammad Usman Lecturer, Department of Law, University of Sialkot, Sialkot, Punjab, Pakistan.

DOI:

https://doi.org/10.55737/qjss.059046443

Keywords:

Artificial Intelligence, Criminal Justice, Transformative

Abstract

This research article delves into the impactful integration of artificial intelligence (AI) within the criminal justice system, exploring its transformative implications on crime detection, prevention, and adjudication. Examining applications such as predictive policing, automated legal analysis, facial recognition, and sentencing algorithms, the study highlights the potential benefits, including increased efficiency and accuracy. However, ethical concerns surrounding bias, transparency, and privacy necessitate careful consideration. The article underscores the need for a balanced approach to harnessing AI's potential while addressing these ethical challenges. As AI continues to evolve, collaborative efforts among policymakers, legal professionals, and technologists are imperative to ensure responsible implementation, fostering a criminal justice system that is both technologically advanced and ethically sound. The qualitative research methodology has been applied in the following article.

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References

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Published

2023-12-30

Issue

Section

Articles

How to Cite

Kanwel, S., Khan, M. I., & Usman, M. (2023). From Bytes to Bars: The Transformative Influence of Artificial Intelligence on Criminal Justice. Qlantic Journal of Social Sciences, 4(4), 84-89. https://doi.org/10.55737/qjss.059046443

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