Responsible Use of AI in Health Care

Explore the responsible use of AI in healthcare through this 36-minute conference talk. Learn about the challenges and opportunities of applying AI methods in medical settings, including potential biases in algorithms and their impact on health outcomes. Discover tools for auditing machine learning models to identify and mitigate discrimination, leading to more equitable and efficient healthcare delivery. Gain insights into Optum's approach to responsible AI use, including the development of guiding principles and a formal review process. Understand different types of bias in model development, assess fairness, and acquire practical guidelines for implementing AI responsibly in healthcare organizations. Examine case studies and research on sources of bias in healthcare delivery, and learn strategies to promote health equity, establish a culture of responsible use, and develop a diverse workforce in the field of healthcare AI.

Intro
What is the role of Al in health care?
The art and science of medicine
Augmented intelligence versus artificial intelligence
The promise of Al in health care Enhance and scale health care delivery
Responsible Use of Al Responsible use is the commitment to
Health care data challenges
Model limitations Importance of transparency
Promote health equity Faimess testing
Establish a culture of responsible use
Monitor model performance and use following deployment Be proactive
Develop a diverse workforce
Research on sources of bias in healthcare delivery