Five Issues of Artificial Intelligence in Science: Sailing the Ship of Theseus

IF 7.5 1区医学 Q1 CLINICAL NEUROLOGY

Annals of Neurology Pub Date : 2026-08-21 Epub Date: 2026-07-02 DOI:10.1002/ana.78298

S. Thomas Carmichael MD, PhD

引用次数: 0

Abstract

Artificial intelligence (AI) is becoming part of the working infrastructure of academic medicine. Because grants convert scientific ideas into protected time, infrastructure, and institutional priority, they provide a revealing test case for AI's effects on biomedicine. Five issues are emerging: language, agency, review, doership, and identity. AI can polish weak proposals, shift the origin of ideas, align proposal and review language around fundability, and create feasibility theater, projects that sound executable, but exceed a laboratory's capacity. The challenge is to keep AI anchored to lived expertise, the experience of failure, and the formative work by which faculty become scientists. ANN NEUROL 2026;100:453–457

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人工智能在科学中的五个问题：驾驶忒修斯之船。

人工智能（AI）正在成为学术医学工作基础设施的一部分。由于拨款将科学思想转化为受保护的时间、基础设施和机构优先事项，它们为人工智能对生物医学的影响提供了一个具有启发性的测试案例。五个问题正在出现：语言、代理、审查、权力和身份。人工智能可以完善薄弱的提案，改变想法的来源，围绕可资助性调整提案和审查语言，并创建可行性剧场，项目听起来可执行，但超出了实验室的能力。我们面临的挑战是，如何让人工智能与活生生的专业知识、失败的经历以及教师成为科学家的形成性工作挂钩。Ann neurol 2026。

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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来源期刊

Annals of Neurology 医学-临床神经学

CiteScore

18.00

自引率

1.80%

发文量

270

审稿时长

3-8 weeks

期刊介绍： Annals of Neurology publishes original articles with potential for high impact in understanding the pathogenesis, clinical and laboratory features, diagnosis, treatment, outcomes and science underlying diseases of the human nervous system. Articles should ideally be of broad interest to the academic neurological community rather than solely to subspecialists in a particular field. Studies involving experimental model system, including those in cell and organ cultures and animals, of direct translational relevance to the understanding of neurological disease are also encouraged.