Do no harm: a roadmap for responsible machine learning for health care

Summary

With over 1,000 citations, this is the most influential paper in healthcare AI ethics and the blueprint that leading health systems use to ensure responsible AI deployment. Dr. Sendak and leaders from the Machine Learning for Health Care (MHLC) community develop a framework that addresses the fundamental question every health system asks: how do we implement AI that enhances patient care while protecting our organization from bias, liability, and unintended harm? This paper established the gold standard principles that guide ethical AI development and help health systems navigate the complex balance between innovation and patient safety.