Published by National Academy of Medicine July 8, 2025
Over the last decade, advances in artificial intelligence (AI) technologies have created transformational opportunities for health, health care, and biomedical science. While new tools are available to improve effectiveness and efficiency in myriad applications in health and health care, challenges persist, including those related to increasing costs of care, staff burnout and shortages, and the growing disease burden of an aging population. The need for new approaches to address these long-standing challenges is evident and AI offers both new hope and new concerns.
An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action presents a unifying AI Code of Conduct (AICC) framework developed to align the field around responsible development and application of AI and to catalyze collective action to ensure that the transformative potential of AI in health and medicine is realized. Designed to be applied at every level of decision making-from boardroom to bedside and from innovation labs to reimbursement policies-the publication serves as a blueprint for building trust, protecting patients, and ensuring that innovation benefits people.
Code Commitments
The AICC Code Commitments are intended to serve as fundamental touchstones for organizations and groups developing their approaches and considerations for inclusion and alignment when providing internal guidance for the development, purchase, or use of AI in their specific context, thereby advancing trust and minimizing the likelihood of actors across the field contending with approach inconsistencies.
- Advance Humanity
- Ensure Equity
- Engage Impacted Individuals
- Improve Workforce Well-Being
- Monitor Performance
- Innovate and Learn
Editors
Laura Adams
Elaine Fontaine
Michael Matheny
Sunita Krishnan
Author Group
Andrew Bindman, Kaiser Permanente
Grace Cordovano, Enlightening Results
Jodi Daniel, Crowell Health Solutions
Wyatt Decker, UnitedHealth Group
Peter J. Embi, Vanderbilt University Medical Center
Gianrico Farrugia, Mayo Clinic (Author Group Co-Lead)
Kadia Ferryman, Johns Hopkins University
Sanjay Gupta, Emory University
Eric Horvitz, Microsoft
Roy Jakobs, Royal Philips (Author Group Co-Lead)
Kevin B. Johnson, University of Pennsylvania
Peter Lee, Microsoft
Kenneth Mandl, Harvard University
Kedar Mate, Institute for Healthcare Improvement
Deven McGraw, Citizen Health
Bakul Patel, Google (Author Group Co-Lead)
Philip Payne, Washington University in St. Louis
Vardit Ravitsky, The Hastings Center
Suchi Saria, Bayesian Health and Johns Hopkins University
Eric Topol, Scripps Research
Selwyn Vickers, Memorial Sloan Kettering Cancer Center
