人工智能、脑死亡检测与伊斯兰教法
AI, Brain Death Detection, and Islamic Law
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中文总结 AI 辅助
该研究探讨了可检测神经损伤患者隐蔽意识的AI系统，结合伊斯兰法律认识论的三个核心概念，分析其面临的挑战及对AI代理决策系统的影响。
中文摘要 AI 辅助
能够检测神经损伤患者隐蔽意识的机器学习系统的应用，在临床医学、人工智能伦理与伊斯兰法学的交叉领域带来了深刻挑战。我们认为，从二元临床判定转向概率性、时间粒度精细的神经状态评估，应通过伊斯兰法律认识论的三个基本概念来解决：bayyina（清晰证据证明）、yaqin（认知确定性）以及神学所要求的对灵魂的不可知论。我们调研了基于人工智能的意识检测的当前技术文献，将其与伊斯兰脑死亡学术研究领域对应，并识别出关键挑战，还讨论了其对人工智能代理决策系统的影响。
英文摘要
The deployment of machine learning systems capable of detecting covert consciousness in neurologically injured patients creates a profound challenge at the intersection of clinical medicine, AI ethics, and Islamic jurisprudence. We argue that the shift 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 the theologically mandated agnosticism about there (soul). We survey the current technical literature on AI-based consciousness detection, map it onto the landscape of Islamic brain death scholarship, and identifykey challenges. We also discuss its implications for AI surrogate decision systems.
发表机构
- University of Washington Bothell（华盛顿大学博塞尔分校）
机构由 AI 辅助整理，请以论文原文为准。
