Al-Jayyousi, Odeh and Al-Khatib, Ma'an Fahmi Rashid (2026) Coping with AI: Islamic principles for new education policy. Journal of Engineering Research and Education, 18 (Special Issue). pp. 129-136. ISSN 1823-2981
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Abstract
Artificial intelligence (AI) is reshaping the landscape of higher education by influencing how knowledge is produced, transmitted, and evaluated. While AI promises efficiency and personalisation, it also generates ethical dilemmas related to privacy, autonomy, bias, and accountability. These concerns become more profound when considered through an Islamic lens that connects knowledge to morality, faith, and social responsibility. This policy brief develops an Islamic framework for coping with the challenges of AI in education policy by drawing on the higher objectives of Islamic law (Maqāṣid al-Sharīʿah). The discussion revisits classical jurisprudential tools—maṣlaḥa (public welfare), qiyās (analogy), istihsān (juristic preference), and sadd al-dharaʿi (prevention of harm)—to reinterpret responsible innovation for the digital era. It argues that the integration of AI into education policy must preserve justice, compassion, and human dignity while advancing inclusive learning. The proposed framework highlights the potential of Islamic ethics to enrich global AI discourse by embedding spiritual accountability within educational governance.
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence (AI); Islamic Values; Education Policy; Ethics; Maqāṣid al-Sharīʿah |
| Subjects: | BPC Science and Technology in Islam > BPC175 Islam and engineering. Sustainable engineering. Sustainable building |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering Kulliyyah of Engineering > Department of Biotechnology Engineering |
| Depositing User: | Dr. Ma'an Alkhatib |
| Date Deposited: | 18 Sep 2026 12:32 |
| Last Update: | 18 Sep 2026 12:32 |
| Queue Number: | 2026-09-Q5129 |
| URI: | http://irep.iium.edu.my/id/eprint/131294 |
| Indexed In: | Google Scholar, MyCite |
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