Judgment

Judgment

Artificial Intelligence as an Official Judicial Expert

Document Type : Scientific

Authors
1 official court expert
2 Professor at Farabi College, University of Tehran
10.22034/judg.2025.2055221.1390
Abstract
With the remarkable advancements in artificial intelligence in recent decades and the emergence of its novel applications in judicial systems, the question arises as to whether artificial intelligence can replace official judicial experts. This article, with an analytical-descriptive approach, examines the possibility of using artificial intelligence as an official judicial expert in our country's judicial system. By analyzing the capabilities and limitations of artificial intelligence in the role of an official expert, the article demonstrates that while AI-based technologies are capable of processing big data, providing objective analyses, and accelerating repetitive processes, serious limitations prevent this complete replacement. Limitations such as legal accountability for algorithmic errors, inability to understand the socio-cultural complexities of cases, biases stemming from training data, and a lack of transparency in decision-making are among the main obstacles. The findings indicate that artificial intelligence in its current state lacks the necessary competence to play an independent expert role. However, as a complementary tool alongside official experts, it can contribute to enhancing the quality of judicial services by automating routine tasks and increasing the accuracy and speed of proceedings. Realizing artificial intelligence as an official judicial expert requires the development of legal and ethical frameworks, investment in infrastructure, training of human resources, and the strengthening of collaboration among technology, engineering, and legal professionals so that replacing official experts with artificial intelligence can be achieved while preserving justice and public trust.
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Articles in Press, Accepted Manuscript
Available Online from 02 May 2026

  • Receive Date 06 March 2025
  • Revise Date 21 August 2025
  • Accept Date 01 October 2025