Application of Artificial Intelligence in Positions Conditional on Justice in the Standard of Imamiah Jurisprudence

Document Type : Original Article

Authors

1 - Associate Professor Department of Islamic Jurisprudence and Law, institute for Islamic Studies in Humanities, Ferdowsi University of Mashhad. -Associate Professor, Department of Theology, Faculty of Law and Theology,

2 Assistant professor of private law, Department of Islamic Jurisprudence and Law, Institute for Islamic Studies in Humanities, Ferdowsi University of Mashhad, Mashhad, Iran

10.22091/rcjl.2025.12566.1165

Abstract

Justice is one of the fundamental pillars in Islamic Sharia, to the extent that in Imami jurisprudence, the assignment of many positions is conditioned upon the realization of this trait in individuals. Given the increasing role of artificial intelligence (AI) in social interventions and its application in various positions, examining the possibility of achieving justice in these systems is of great importance. The main objective of this research is to clarify the nature and scope of justice in Islamic Sharia to arrive at a unified understanding and to adapt this concept to different types of AI, with the aim of validating the assignment of positions conditioned on justice to AI from the perspective of Using the descriptive-analytical method, the results demonstrated that delegating responsibility to limited artificial intelligence—based on Islamic data—is possible in those positions where the requirement of justice holds an instrumental aspect, is free from the complexities of ethical and human judgment, and primarily involves executive and administrative functions, provided that the conditions for achieving the objectives of justice are fulfilled. However, in the current era, achieving justice through general and super AI faces serious challenges, as these systems possess high levels of complexity and autonomy and may operate outside defined frameworks.

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History

  • Receive Date: 15 March 2025
  • Revise Date: 28 July 2025
  • Accept Date: 19 August 2025

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