))
The Data Science Fairness Story | Episode 19
Manage episode 409046446 series 3462100
Content provided by Human Factor, Association for Diagnostics, and Laboratory Medicine (formerly AACC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Human Factor, Association for Diagnostics, and Laboratory Medicine (formerly AACC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Healthcare professionals currently don’t have the ability to monitor whether medical artificial intelligence (AI) algorithms are fair or not — a serious gap that could lead to AI exacerbating existing disparities and harming the most vulnerable patient populations. In this episode of Laborastories, host Dr. Octavia Peck Palmer talks with Dr. Mark Zaydman about this issue and about an Association for Diagnostics & Laboratory Medicine (formerly AACC) competition that aims to encourage clinical labs to develop tools to meet this need.
With special guest:
Dr. Mark Zaydman
Hosted by:
Dr. Octavia Peck Palmer
23 episodes
Share
