Letter to the Editor: Artificial wisdom and the transience of truth: Ethical and temporal reflections on artificial intelligence-human inquiry into history.

Prasan Kumar Panda
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Abstract

Zhou et al published a study in the recent issue of the World Journal of Gastroen terology, which aimed to examines the concept of artificial wisdom (AW) as applied to historical medical inquiry, in response to a recent artificial intelligence (AI)-human analysis of Alexander the Great's cause of death. While acknowledging the innovative integration of generative AI with clinical reasoning, the letter highlights key epistemic and ethical limitations. It argues that AI systems, inherently shaped by transient data and iterative obsolescence, cannot access enduring or timeless truths, particularly in historically remote contexts where evidence is fragmentary and context-dependent. The persuasive fluency of large language models risks creating an illusion of certainty, conflating probabilistic synthesis with wisdom. Drawing on principles of ethical AI use, the letter emphasizes transparency, accountability, and human moral stewardship as essential safeguards. Ultimately, it proposes a shift from the notion of AW toward epistemic stewardship, recognizing that truth evolves with time and that wisdom resides not in algorithms, but in ethically grounded human judgment.

给编辑的信:人工智慧和真理的短暂性:对人工智能的伦理和时间反思——人类对历史的探究。
Zhou等人在最近一期的《世界胃肠病学杂志》上发表了一项研究,该研究旨在探讨人工智能(AW)概念在历史医学调查中的应用,以回应最近人工智能(AI)-人类对亚历山大大帝死因的分析。在承认生成式人工智能与临床推理的创新整合的同时,这封信强调了关键的认知和伦理局限性。它认为,人工智能系统本质上是由短暂的数据和迭代的过时所塑造的,无法获得持久或永恒的真理,特别是在历史遥远的背景下,证据是零碎的,依赖于上下文。大型语言模型具有说服力的流畅性,可能会造成一种确定性的错觉,将概率综合与智慧混为一谈。根据人工智能使用的道德原则,这封信强调透明度、问责制和人类道德管理是基本的保障措施。最后,它提出了从AW的概念向认知管理的转变,认识到真理随着时间的推移而发展,智慧不存在于算法中,而是存在于基于道德的人类判断中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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