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ChatGPT 和生成式人工智能在医学教育中的应用:潜在影响与机遇。

ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity.

出版信息

Acad Med. 2024 Jan 1;99(1):22-27. doi: 10.1097/ACM.0000000000005439. Epub 2023 Aug 31.

Abstract

ChatGPT has ushered in a new era of artificial intelligence (AI) that already has significant consequences for many industries, including health care and education. Generative AI tools, such as ChatGPT, refer to AI that is designed to create or generate new content, such as text, images, or music, from their trained parameters. With free access online and an easy-to-use conversational interface, ChatGPT quickly accumulated more than 100 million users within the first few months of its launch. Recent headlines in the popular press have ignited concerns relevant to medical education over the possible implications of cheating and plagiarism in assessments as well as excitement over new opportunities for learning, assessment, and research. In this Scholarly Perspective, the authors offer insights and recommendations about generative AI for medical educators based on literature review, including the AI literacy framework. The authors provide a definition of generative AI, introduce an AI literacy framework and competencies, and offer considerations for potential impacts and opportunities to optimize integration of generative AI for admissions, learning, assessment, and medical education research to help medical educators navigate and start planning for this new environment. As generative AI tools continue to expand, educators need to increase their AI literacy through education and vigilance around new advances in the technology and serve as stewards of AI literacy to foster social responsibility and ethical awareness around the use of AI.

摘要

ChatGPT 引领了人工智能(AI)的新时代,已经对许多行业产生了重大影响,包括医疗保健和教育行业。生成式 AI 工具,如 ChatGPT,是指旨在根据其训练参数生成或创造新内容(如文本、图像或音乐)的 AI。由于其在线免费访问和易于使用的对话界面,ChatGPT 在发布后的短短几个月内就积累了超过 1 亿用户。大众媒体的最新头条引发了人们对医疗教育的担忧,涉及评估中的作弊和抄袭的可能影响,以及对学习、评估和研究的新机会的兴奋。在这篇学术观点中,作者根据文献综述,包括 AI 素养框架,为医学教育工作者提供了有关生成式 AI 的见解和建议。作者定义了生成式 AI,介绍了 AI 素养框架和能力,并对潜在影响和机会进行了考虑,以优化生成式 AI 在招生、学习、评估和医学教育研究中的整合,帮助医学教育工作者驾驭并开始规划这一新环境。随着生成式 AI 工具的不断扩展,教育工作者需要通过教育来提高他们的 AI 素养,并警惕该技术的新进展,同时充当 AI 素养的管理者,以培养对 AI 使用的社会责任和道德意识。

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