TY - JOUR
T1 - Toward an artificial intelligence code of conduct for health and healthcare
T2 - implications for the biomedical informatics community
AU - Payne, Philip
AU - Johnson, Kevin B.
AU - Maddox, Thomas M.
AU - Embi, Peter J.
AU - Mandl, Kenneth D.
AU - McGraw, Deven
AU - Saria, Suchi
AU - Adams, Laura
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved.
PY - 2025/2/1
Y1 - 2025/2/1
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - biomedical informatics
KW - policy
UR - http://www.scopus.com/inward/record.url?scp=85216606716&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocae306
DO - 10.1093/jamia/ocae306
M3 - Article
C2 - 39658328
AN - SCOPUS:85216606716
SN - 1067-5027
VL - 32
SP - 408
EP - 412
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 2
ER -