Bias and Discriminatory Decision-Making in Artificial Intelligence: An Analytical Study in the Light of Prophet's (PBUH) Principles of Justice

مصنوعی ذہانت میں تعصب اور امتیازی فیصلہ سازی: سیرتِ نبوی ﷺ کے اصولِ عدل کی روشنی میں تجزیاتی مطالعہ

Authors

  • Alyia Perveen Lecturer, Department of Islamic Studies Government Graduate College of Science, Multan; Ph.D. Scholar, Institute of Islamic Studies, Bahauddin Zakariya University, Multan
  • Prof. Dr. Munazza Hayat Professor, Director, Department of Islamic Studies Bahauddin Zakariya University, Multan

Keywords:

Artificial Intelligence, Bias, Discriminatory Decision-Making, Seerah of The Prophet (PBUH), Justice, Equality, Impartiality

Abstract

The use of Artificial Intelligence (AI) has helped to streamline decision-making processes in several areas of human life, but introducing biased data and algorithmic discrimination has introduced a greater sense of risk to having unfair outcomes. This research examines the bias and discriminatory decisions made in the application of Artificial Intelligence based on the principles of justice, equality and impartiality as stated by the Holy Prophet Muḥammad (PBU). This research seeks to illuminate prophetic principles of justice which can help contribute to mitigating bias, safeguarding the dignity of the human person and providing fair decision making in modern Electronic Human Assistive Systems. The research shows that the principles of justice applied by prophet (PBUH) offered a better understanding for a framework of ethical and responsible use of artificial intelligence systems in Islamic perspective.

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Published

2026-08-31

Issue

Section

Articles

How to Cite

“Bias and Discriminatory Decision-Making in Artificial Intelligence: An Analytical Study in the Light of Prophet’s (PBUH) Principles of Justice: مصنوعی ذہانت میں تعصب اور امتیازی فیصلہ سازی: سیرتِ نبوی ﷺ کے اصولِ عدل کی روشنی میں تجزیاتی مطالعہ”. 2026. Al-Asr International Research Journal of Islamic Studies, August, 328-47. https://al-asr.pk/index.php/alasr/article/view/470.