Ethnicity, Equity, and AI

Explore the challenges of AI in healthcare equity, focusing on race and ethnicity data in this insightful video presentation by Sara Khalid, an Oxford researcher specializing in AI and healthcare. Delve into how bias can infiltrate algorithmic processes and underlying data, leading to inequities in healthcare AI. Examine real-world ethnicity data collected in healthcare settings, addressing issues of completeness, correctness, and granularity. Discover opportunities for improving data quality, enhancing models, and ultimately achieving better healthcare outcomes. Learn about the latest advancements in Responsible AI as the presentation covers key topics such as health inequity and AI, big data in healthcare, ethnicity data challenges, and the importance of data granularity. Gain valuable insights into the intersection of AI, healthcare, and equity in this comprehensive 37-minute talk.

- Introduction
- Outline
- Health Inequity and AI
- Big Data in Healthcare
- Ethnicity Data
- Granularity
- Summary