ISLAMIC ETHICAL FRAMEWORK FOR ARTIFICIAL INTELLIGENCE GOVERNANCE IN THE ERA OF GENERATIVE MODELS
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AI governance, Generative Models, Islamic Ethics
Abstract
The rapid advancement of generative artificial intelligence has intensified global demands for ethical governance frameworks capable of addressing risks related to content authenticity, algorithmic autonomy, and societal harm. The absence of culturally grounded and morally coherent governance models presents a critical challenge for Muslim-majority contexts, where regulatory systems must align with Islamic ethical values. This study aims to formulate an Islamic ethical framework for governing generative AI by integrating principles from maqasid al-shariah, harm prevention, justice, accountability, and public interest. A qualitative design was employed, utilizing interpretive textual analysis of classical Islamic jurisprudence, contemporary ethical scholarship, and international AI governance documents. The findings reveal that Islamic ethical constructs provide a comprehensive normative foundation that complements existing global frameworks while offering deeper moral grounding, particularly in guiding human–machine interaction and regulating generative AI outputs. The study concludes that Islamic ethics can serve as a viable and culturally resonant governance model, capable of strengthening accountability structures, safeguarding human dignity, and ensuring responsible AI development in the era of autonomous content generation. The framework produced contributes conceptually to global AI governance discourse and offers a practical foundation for policy formation in Muslim-majority societies.
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Copyright (c) 2025 Ode Abdurracham, Zeynep Toprak, James Scott
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