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迈向健康与医疗保健领域的人工智能行为准则:对生物医学信息学领域的影响

Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community.

作者信息

Payne Philip R O, Johnson Kevin B, Maddox Thomas M, Embi Peter J, Mandl Kenneth D, McGraw Deven, Saria Suchi, Adams Laura

机构信息

Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States.

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States.

出版信息

J Am Med Inform Assoc. 2025 Feb 1;32(2):408-412. doi: 10.1093/jamia/ocae306.

Abstract

INTRODUCTION

The rapid advancement of artificial intelligence (AI) has led to significant transformations in health and healthcare. As AI technologies continue to evolve, there is an urgent need to establish a unified framework that guides the design, implementation, and evaluation of AI-driven interventions across individual and population health contexts.

APPROACH

In response to this need, the National Academy of Medicine (NAM) has initiated the development of an AI code of conduct (AICC) through its Digital Health Action Collaborative. This code of conduct is grounded in shared principles and commitments, aiming to actualize ethical and effective AI practices within the broader health and healthcare ecosystem. Given its specialized expertise and insight, the biomedical informatics (BMI) community plays a pivotal role in shaping and applying these guidelines.

RECOMMENDATIONS

We, as members of the AICC Steering Committee and the NAM Digital Health Action Collaborative, urge BMI educators, researchers, and practitioners to engage actively in refining and implementing the AICC. This involvement is critical to ensuring that the code is robust, applicable, and continuously improved to meet the evolving challenges facing health and healthcare.

摘要

引言

人工智能(AI)的迅速发展给健康和医疗保健带来了重大变革。随着人工智能技术不断演进,迫切需要建立一个统一框架,以指导在个体和人群健康背景下对人工智能驱动干预措施的设计、实施和评估。

方法

为满足这一需求,美国国家医学院(NAM)通过其数字健康行动协作组织启动了人工智能行为准则(AICC)的制定工作。该行为准则基于共同的原则和承诺,旨在在更广泛的健康和医疗保健生态系统中实现符合道德规范且有效的人工智能实践。鉴于生物医学信息学(BMI)领域的专业知识和见解,其社群在塑造和应用这些准则方面发挥着关键作用。

建议

作为AICC指导委员会和NAM数字健康行动协作组织的成员,我们敦促BMI教育工作者、研究人员和从业者积极参与完善和实施AICC。这种参与对于确保该准则稳健、适用并不断改进以应对健康和医疗保健领域不断变化的挑战至关重要。

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