Development of a Scalable Method for Identifying Ethical Issues Arising from Healthcare AI

Explore a thought-provoking Grand Rounds presentation on the development of scalable methods for identifying ethical issues in healthcare AI. Join Dr. Danton Char, Associate Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric) at Stanford Department of Medicine, as he delves into this critical topic. Gain valuable insights into the challenges and potential solutions for addressing ethical concerns in the rapidly evolving field of artificial intelligence in healthcare. This one-hour session offers a unique opportunity to understand the intersection of technology, ethics, and medicine, and how it impacts patient care and medical decision-making. Discover the latest research and methodologies being developed to ensure responsible and ethical implementation of AI in healthcare settings.

"Development of a Scalable Method for Identifying Ethical Issues Arising ..." | 14 August 2024