Policy Principles: Artificial Intelligence and Machine Learning

HIMSS has revised its Public Policy Principles with new guidance to promote and accelerate the responsible governance and deployment of artificial intelligence and machine learning in healthcare.

HIMSS’s AI principles provide critical guardrails to foster trust and advancement. They include insight on safety, accountability, transparency, privacy, interoperability, and innovation, as well as facilitation of workforce development.

HIMSS developed its Public Policy Principles to ensure that all governments—regardless of structure, payment system, or geography—have tools to improve policy, support the rapid speed of innovation, and address the growing complexity of health and delivery systems.

The Public Policy Principles serve as HIMSS guideposts for policy development and analysis across all health domains supporting HIMSS’s foundational goals. The new AI principles urge AI governance and deployment that demonstrate benefit to stakeholders in the health and human services sector and ensure AI is continually monitored and revalidated following deployment in the field.