Stanford CS521 - AI Safety Seminar

Lecture Details

James Zou, Stanford University

May 25, 2022

Dive into ai in healthcare and translating trustworthy AI from research into healthcare deployment is a major - and exciting challenge. I will discuss insights that we learned from conducting the first real-time AI trials at Stanford and analyzing data from 100 FDA-approved medical AI systems. We will explore challenges and new opportunities in each step of translation:
1. Data curation, quantifying how different data contribute to model’s success or biases
2. Model testing and monitoring, continuous real-time testing and explaining model’s mistakes
3. Human-AI interactions, designing AI for optimizing clinician’s performance.

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai