AI Code of Conduct for Health and Medicine

Welcome to the podcast. Please note that the two voices you are hearing are AI-generated, and it's important to remember that AI can make mistakes.In this episode, we delve into a significant publication from the National Academy of Medicine: a proposed Artificial Intelligence Code of Conduct (AICC) for Health and Medicine. We'll explore the dual nature of AI in healthcare, examining both its transformative opportunities and the inherent challenges it presents.A central theme is the critical need for robust governance frameworks to guide the responsible deployment of these powerful technologies. We'll unpack the core principles and commitments of the proposed AICC and see how they map across the entire health AI lifecycle – from conception to real-world application.Join us as we consider the AICC's implications from the diverse perspectives of key stakeholders. This includes AI developers, researchers, healthcare systems, patients, federal agencies, the healthcare workforce, quality improvement experts, and ethicists.Furthermore, we'll discuss the innovative "Tight-Loose-Tight" framework proposed for advancing responsible AI. This approach champions aligned standards, encourages localised implementation, and mandates ongoing monitoring and learning. Discover why collaboration and continuous learning across the entire health sector are paramount for realising the full and ethical potential of AI in health and medicine.

There are no comments yet.

Please log in to write the first comment.