Lenert Leslie Andrew
Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29405, United States.
J Am Med Inform Assoc. 2025 May 1;32(5):968-970. doi: 10.1093/jamia/ocaf041.
This article describes the challenges faced by the National Library of Medicine with the rise of artificial intelligence (AI) and access to human knowledge through large language models (LLMs).
The rise of AI as a tool for the acceleration and falsification of science is impacting every aspect of the transformation of data to information, knowledge, and wisdom through the scientific processes.
This perspective discusses the philosophical foundations, threats, and opportunities of the AI revolution with a proposal for restructuring the mission of the National Library of Medicine (NLM), part of the National Institutes of Health, with a central role as the guardian of the integrity of scientific knowledge in an era of AI-driven science.
The NLM can rise to new challenges posed by AI by working from its foundations in theories of Information Science and embracing new roles. Three paths for the NLM are proposed: (1) Become an Authentication Authority For Data, Information, and Knowledge through Systems of Scientific Provenance; (2) Become An Observatory of the State of Human Health Science supporting living systematic reviews; and (3) Become A hub for Culturally Appropriate Bespoke Translation, Transformation, and Summarization for different users (patients, the public, as well as scientists and clinicians) using AI technologies.
Adapting the NLM to the challenges of the Internet revolution by developing worldwide-web-accessible resources allowed the NLM to rise to new heights. Bold moves are needed to adapt the Library to the AI revolution but offer similar prospects of more significant impacts on the advancement of science and human health.
本文描述了美国国立医学图书馆在人工智能（AI）兴起以及通过大语言模型（LLMs）获取人类知识方面所面临的挑战。
人工智能作为一种加速和伪造科学的工具正在兴起，它正在影响通过科学过程将数据转化为信息、知识和智慧的每一个方面。
本观点讨论了人工智能革命的哲学基础、威胁和机遇，并提议对美国国立医学图书馆（NLM）的使命进行重组。美国国立医学图书馆是美国国立卫生研究院的一部分，在人工智能驱动的科学时代，它作为科学知识完整性的守护者发挥着核心作用。
美国国立医学图书馆可以通过基于信息科学理论的基础工作并承担新角色来应对人工智能带来的新挑战。文中提出了美国国立医学图书馆的三条发展路径：（1）通过科学溯源系统成为数据、信息和知识的认证机构；（2）成为支持实时系统评价的人类健康科学现状观测站；（3）利用人工智能技术成为为不同用户（患者、公众以及科学家和临床医生）提供符合文化背景的定制翻译、转换和总结的中心。
通过开发可通过万维网访问的资源，使美国国立医学图书馆适应互联网革命的挑战，从而使其达到了新的高度。需要大胆举措使该图书馆适应人工智能革命，但这也为科学进步和人类健康带来更显著影响提供了类似的前景。
