Ethics of Artificial Intelligence in Islamic Jurisprudence
Research Editorial Desk — Imam Mahdi Civilizition
Senior Academic Research Fellow
"A framework for evaluating AI through responsibility, privacy, justice, transparency, harm prevention, and human oversight."

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ہے کہ AI کو مستند عالم، مفتی یا ذمہ دار فیصلہ ساز کا متبادل قرار نہیں دینا چاہیے۔ ## English Study ## New tools, enduring questions Artificial intelligence creates questions
about responsibility, evidence, privacy, employment, bias, and the manipulation of public opinion. Islamic legal and ethical analysis begins with established principles rather than assuming that a technology is inherently good
or bad. The ruling on a particular use depends on purpose, effects, contractual terms, and foreseeable harms. ## Justice and non-harm Systems used in hiring, lending, healthcare, education, or public
services can reproduce discrimination when their data or objectives are flawed. The ethical duties of justice (Qur'an 4:135), verification (49:6), and avoiding unjust harm support testing, documentation, appeal mechanisms, and
accountability for consequential decisions. ## Privacy and trust Personal data should not be collected merely because it is technically available. Consent, purpose limitation, secure storage, and protection from surveillance or
humiliation are essential considerations. Religious content also requires source attribution and clear separation between verified quotations and generated paraphrase. ## Human responsibility AI cannot replace a qualified mufti, physician, judge,
or accountable decision-maker. Organisations should disclose meaningful limitations, audit outputs, monitor misuse, and provide human review. Generated religious rulings must not be presented as binding fatwas. ## References Qur'an 4:135,
17:36, 49:6; the legal maxims concerning harm and public interest as treated in recognised usul al-fiqh works. Specific applications require qualified interdisciplinary review.
Imam Mahdi Civilizition Research Directorate
Scholarly Verification & Canonical Source Governance
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