Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community
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.
Authors
- Peter J. Embí (ORCID: https://orcid.org/0000-0002-7733-0847)
- Kenneth D. Mandl (ORCID: https://orcid.org/0000-0002-9781-0477)
- Laura Adams (ORCID: https://orcid.org/0009-0008-1329-4884)
- Thomas M. Maddox (ORCID: https://orcid.org/0000-0003-1426-9433)
- Kevin B. Johnson (ORCID: https://orcid.org/0000-0003-1016-9363)
- Deven McGraw (ORCID: https://orcid.org/0000-0002-8172-4400)
- Suchi Saria (ORCID: https://orcid.org/0000-0002-7667-5210)
- Philip Payne (ORCID: https://orcid.org/0000-0002-9532-2998)
Institutions
- National Academy of Medicine (US)
- Boston Children's Hospital (US)
- BJC HealthCare (US)
- Harvard University (US)
- Johns Hopkins University (US)
- Washington University in St. Louis (US)
- Johns Hopkins Medicine (US)
- Public Citizen (US)
- University of Pennsylvania (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1093/jamia/ocae306
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.24