AI Code of Conduct for Health and Medicine

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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

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