Public articles linked to the same research event.
World Journal of Methodology This letter to the editor responds to a study by Zhou et al published in the World Journal of Gastroenterology on the concept of artificial wisdom (AW) applied to historical medical inquiry, itself a response to an 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 epistemic and ethical limitations, arguing that AI systems shaped by transient data and iterative obsolescence cannot access enduring or timeless truths, that the persuasive fluency of large language models risks creating an illusion of certainty and conflating probabilistic synthesis with wisdom, and that transparency, accountability, and human moral stewardship are essential safeguards, ultimately proposing a
This letter to the editor responds to a study by Zhou et al published in the World Journal of Gastroenterology on the concept of artificial wisdom (AW) applied to historical medical inquiry, itself a response to an 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 epistemic and ethical limitations, arguing that AI systems shaped by transient data and iterative obsolescence cannot access enduring or timeless truths, that the persuasive fluency of large language models risks creating an illusion of certainty and conflating probabilistic synthesis with wisdom, and that transparency, accountability, and human moral stewardship are essential safeguards, ultimately proposing a
This letter to the editor responds to a study by Zhou et al published in the World Journal of Gastroenterology on the concept of artificial wisdom (AW) applied to historical medical inquiry, itself a response to an 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 epistemic and ethical limitations, arguing that AI systems shaped by transient data and iterative obsolescence cannot access enduring or timeless truths, that the persuasive fluency of large language models risks creating an illusion of certainty and conflating probabilistic synthesis with wisdom, and that transparency, accountability, and human moral stewardship are essential safeguards, ultimately proposing a
This letter to the editor responds to a study by Zhou et al published in the World Journal of Gastroenterology on the concept of artificial wisdom (AW) applied to historical medical inquiry, itself a response to an 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 epistemic and ethical limitations, arguing that AI systems shaped by transient data and iterative obsolescence cannot access enduring or timeless truths, that the persuasive fluency of large language models risks creating an illusion of certainty and conflating probabilistic synthesis with wisdom, and that transparency, accountability, and human moral stewardship are essential safeguards, ultimately proposing a