Artificial Intelligence Risks: Training and Education

Training and education are imperative in many facets of healthcare -- from understanding clinical systems, to improving technical skills, to understanding regulations and professional standards. Technology often presents unique training challenges because of the ways in which it disrupts existing workflow patterns, alters clinical practice, and creates both predictable and unforeseen challenges. The emergence of artificial intelligence (AI), its anticipated expansion in healthcare, and its sheer scope point to significant training and educational needs for medical students and practicing healthcare providers. These needs go far beyond developing technical skills with AI programs and systems; rather, they call for a shift in the paradigm of medical learning. An AMA Journal of Ethics article titled "Reimagining Medical Education in the Age of AI" discusses how traditional medical education -- which focuses on information acquisition, retention, and application -- is insufficient, counterproductive, and potentially harmful in the era of digital medicine.