加强对医学出版和传播专业人员的人工智能指导。

IF 2.2 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Keith Goldman, Valerie Moss, Stephen Griffiths, Chirag Jay Patel, Gary Dorrell, Amy Foreman-Wykert, Monica Mody, Jason Gardner, Andy Shepherd, Matt Lewis
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引用次数: 0

摘要

国际医学出版专业人员协会(ISMPP)于2024年发表的立场声明和关于使用人工智能(AI)的行动呼吁,承认了人工智能的价值,同时倡导指导人工智能使用的最佳实践。在本评论中,我们为ISMPP成员和其他医疗传播专业人员就教育和培训、实施和使用、宣传和社区参与等主题的行动呼吁提供了加强的指导。随着人工智能迅速改变科学传播,会员应通过完成人工智能培训课程,参与ISMPP人工智能教育和培训以及其他外部培训平台,发展终身学习的实践,并提高人工智能素养,来跟上该领域的进展。成员可以通过遵守组织政策、确保公平访问人工智能模型、遵守作者指导、适当披露人工智能模型或工具的使用、尊重学术诚信和版权限制以及理解隐私保护来成功集成和使用人工智能。成员还需要熟悉大型语言模型的系统性偏见问题,这可能会加剧卫生不公平,以及人工智能模型的透明度和可解释性的局限性,这可能会破坏来源验证、偏见检测甚至科学完整性。人工智能模型可能会产生幻觉,结果与事实不符,无关或无意义,这就是为什么人工智能模型的所有输出都应该由人类审查和验证其准确性。在倡导和社区参与方面,成员应倡导负责任地使用人工智能,参与制定人工智能政策和治理,与服务不足的社区合作,获得人工智能工具,并在同行评审的期刊、会议和其他专业平台上分享人工智能用例的发现或研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced guidance on artificial intelligence for medical publication and communication professionals.

The International Society for Medical Publication Professionals (ISMPP) position statement and call to action on the use of artificial intelligence (AI), published in 2024, recognized the value of AI while advocating for best practices to guide its use. In this commentary, we offer enhanced guidance on the call to action for ISMPP members and other medical communication professionals on the topics of education and training, implementation and use, and advocacy and community engagement. With AI rapidly revolutionizing scientific communication, members should stay up to date with advancements in the field by completing AI training courses, engaging with ISMPP AI education and training and other external training platforms, developing a practice of lifelong learning, and improving AI literacy. Members can successfully integrate and use AI by complying with organizational policies, ensuring fair access to AI models, complying with authorship guidance, properly disclosing the use of AI models or tools, respecting academic integrity and copyright restrictions, and understanding privacy protections. Members also need to be familiar with the systemic problem of bias with large language models, which can reinforce health inequities, as well as the limits of transparency and explainability with AI models, which can undermine source verification, bias detection, and even scientific integrity. AI models can produce hallucinations, results that are factually incorrect, irrelevant, or nonsensical, which is why all outputs from AI models should be reviewed and verified for accuracy by humans. With respect to advocacy and community engagement, members should advocate for the responsible use of AI, participate in developing AI policy and governance, work with underserved communities to get access to AI tools, and share findings for AI use cases or research results in peer-reviewed journals, conferences, and other professional platforms.

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来源期刊
Current Medical Research and Opinion
Current Medical Research and Opinion 医学-医学:内科
CiteScore
4.40
自引率
4.30%
发文量
247
审稿时长
3-8 weeks
期刊介绍: Current Medical Research and Opinion is a MEDLINE-indexed, peer-reviewed, international journal for the rapid publication of original research on new and existing drugs and therapies, Phase II-IV studies, and post-marketing investigations. Equivalence, safety and efficacy/effectiveness studies are especially encouraged. Preclinical, Phase I, pharmacoeconomic, outcomes and quality of life studies may also be considered if there is clear clinical relevance
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