University IT
Alaa Talaat Youssef
AI Frontiers:
Dialogues with Tech Pioneers Podcast
Guest: Alaa Talaat Youssef
Transcript
Any views, discussions, or opinions expressed in this podcast do not represent in any way the opinions or positions of Stanford University, its staff, or its employees.
Full Transcript
Welcome to the AI Frontiers Podcast, a Dialogue with Tech Pioneers, hosted by Stanford University Technology Training. I'm Don Cameron.
We are thrilled to have Dr. Alaa Youssef, a postdoctoral fellow in AI Ethics and Governance at Stanford School of Medicine. Dr. Youssef holds a PhD in Health System and Population Health from the University of Toronto and is a leading expert in responsible AI implementation and evaluation.
Dr. Youssef leads several AI educational programs and policy initiatives. She co-directs the Stanford AIMI (acronym for Center for Artificial Intelligence in Medicine and Imaging, also known as AMY) High School Programs, preparing the next generation for careers in AI and medicine. She also serves on several AI policy and education committees at Stanford School of Medicine, shaping the future of AI in healthcare.
Join us as we explore the fascinating world of AI ethics and healthcare with Dr. Alaa Youssef!
Dr. Youssef – thank you very much for joining us today.
Questions
To lead things off, please share with us how you got interested in the area of AI and its applications in healthcare.
Artificial intelligence (AI) in clinical medicine and patient care offers numerous benefits, and great potential for improved care, but it also raises several key ethical issues.
One of the key issues with AI in Healthcare is Bias and Fairness
AI systems can perpetuate and even exacerbate existing biases in healthcare data, leading to unequal treatment across different populations, especially marginalized groups.
You've worked extensively on evaluating the fairness and bias in large multi-modal models. What methodologies do you recommend to ensure fairness in AI models?
