Development of a Scalable Method for Identifying Ethical Issues Arising from Healthcare AI
Stanford Department of Medicine via YouTube
Learn Python with Generative AI - Self Paced Online
Finance Certifications Goldman Sachs & Amazon Teams Trust
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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.
Syllabus
"Development of a Scalable Method for Identifying Ethical Issues Arising ..." | 14 August 2024
Taught by
Stanford Department of Medicine