Articles | Open Access | DOI: https://doi.org/10.37547/tajpslc/Volume07Issue06-07

Predictive Justice and Artificial Intelligence: Comparative Legal Analysis of Judicial Practice

Hurshid Sadikov , Independent applicant of the Supreme School of Judges, Uzbekistan

Abstract

The article is dedicated to research on the implementation of artificial intelligence (AI) technologies in the justice sector, with a focus on predictive coding and "predicted justice." A comparative legal analysis of the practice of the USA, China, European Union countries, and France was conducted. Special attention is paid to the role of AI at the proof stage: analysis of evidence, automation of legal procedures, and reduction of corruption risks. Examples of court cases illustrate both the possibilities and risks of applying AI in court proceedings. Institutional and ethical limitations, including issues of trust, algorithm reliability, and equality of parties, are also considered. It is noted that despite technological progress, full confidence in AI in the judicial system has not yet been formed. It was concluded that it is necessary to develop general regulations and gradually implement AI, taking into account the principles of procedural fairness.

Keywords

Artificial intelligence, predictive justice, evidence

References

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How to Cite

Hurshid Sadikov. (2025). Predictive Justice and Artificial Intelligence: Comparative Legal Analysis of Judicial Practice. The American Journal of Political Science Law and Criminology, 7(06), 36–39. https://doi.org/10.37547/tajpslc/Volume07Issue06-07