AI, Brain Death Detection, and Islamic Law

AI consciousness detection creates a fundamental mismatch with Islamic legal standards: The paper identifies that machine learning systems produce probabilistic estimates of neural states, but Islamic jurisprudence traditionally requires bayyina (clear evidentiary proof) and yaqin (epistemic certainty) for life-or-death decisions. This probabilistic nature of AI outputs may not meet the high evidentiary threshold Islamic law demands for determining brain death.

The "soul question" remains theologically off-limits: Islamic law mandates agnosticism about the soul (ruh), meaning that even if AI could perfectly detect consciousness, it cannot address the theological dimension of what constitutes death in Islamic tradition. This creates an inherent limitation to what technical solutions alone can resolve in this domain.

Temporal granularity of AI assessments raises new ethical questions: Unlike binary clinical verdicts (dead or alive), AI systems can detect fluctuating or covert consciousness over time. The paper suggests this shift to temporally detailed neural-state estimates requires new frameworks for decision-making that Islamic legal epistemology may need to explicitly address.

AI surrogate decision systems need religious and legal guidance: The paper highlights that deploying AI to make or support brain death determinations for Muslim patients requires integration with Islamic jurisprudence, not just clinical or technical standards—suggesting that responsible AI implementation in this context demands interdisciplinary collaboration with legal and theological experts.