Prof. Kadija Ferryman Named to NAM AI in Health Care Steering Committee

The Berman Institute’s Kadija Ferryman has been named to the steering committee for a new National Academy of Medicine (NAM) initiative aiming to ensure the safe, ethical, reliable, & equitable use of Artificial Intelligence (AI) in health, medical care, and health research.

The Health Care Artificial Intelligence Code of Conduct (AICC) will define the roles and responsibilities of stakeholders throughout the AI lifecycle, covering aspects such as privacy, ethics, equity, accountability, and applicability and serve as a dynamic code subject to testing, validation, and improvement. The aim is to achieve broad adoption of the Code and a national health care AI architecture, with continuous improvement to fully realize the potential benefits of AI in the field.

The initiative, guided by a steering committee, composed of ethics and equity experts, care delivery systems, tech companies, patient advocates, researchers, and payers, responds to the need for standardized guidelines to promote governance interoperability, considering the significant impact AI can have.

Dr. Kadija Ferryman is an anthropologist who studies race, ethics, and policy in health technology. Specifically, her research examines how clinical racial correction/norming, algorithmic risk scoring, and disease prediction in genomics, digital medical records, and artificial intelligence technologies affect racial health inequities

The NAM AI Code of Conduct initiative will be developed with significant stakeholder and public input—an open process from the outset. NAM will organize informational gatherings and collaborative events and activities which will be used to inform the Code of Conduct. The goal is that the Code and national health care AI architecture be widely adopted, translated for implementation by various stakeholders, and continuously improved to realize AI’s enormous promise.

For more information on the project visit: https://nam.edu/programs/value-science-driven-health-care/health-care-artificial-intelligence-code-of-conduct