ASGE Annual Postgraduate Course: Clinical Challenges and Real-Time Decision Making in GI Endoscopy (Live and Virtual) | May 2023-Artificial Intelligence Ethics and Bias

Video Transcription

Video Summary

The video discusses the ethics and biases associated with AI in healthcare. The speaker begins by mentioning how AI programs are able to diagnose skin cancer more accurately and quickly than dermatologists. However, there are limitations and ethical complexities that need to be considered. The speaker emphasizes the need for guidelines and policies to ensure patient care and safety. They also discuss the overarching themes of responsible AI use, transparency, accountability, and the importance of human involvement in patient care. Specific ethical issues discussed include decision-making by AI, trustworthiness of AI, integrating AI into medical education, legal conflicts, and biases in data, labels, and interpretation. The speaker concludes by highlighting the need for diverse representation in medical AI and the importance of establishing ethical foundations for AI use in healthcare.

Asset Subtitle

Michael F. Byrne, MD

Keywords

ethics

biases

AI in healthcare

patient care

guidelines