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arXiv AI By Muhammad Aurangzeb Ahmad

AI, Brain Death Detection, and Islamic Law

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The article discusses how machine learning systems that detect covert consciousness in neurologically injured patients pose a significant challenge at the intersection of clinical medicine, AI ethics, and Islamic jurisprudence. It argues that moving from binary clinical verdicts to probabilistic, temporally granular neural-state estimates should be addressed through three foundational constructs in Islamic legal epistemology: bayyina (clear evidentiary proof), yaqin (epistemic certainty), and theologically mandated agnosticism about the soul. The authors survey current AI-based consciousness detection literature, map it onto Islamic brain death scholarship, identify key challenges, and explore implications for AI surrogate decision systems.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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