Nov 1, 2021
AI Racial Identification
In this episode, hosts Prasanth and Mohannad interview @judywawira
(Emory University), Chima Okechukwu (GeorgiaTech) @BrandonPriceRad
(FSU College of Medicine) and Anthony Celi (MIT laboratory for
Computational Physiology) as they discuss a groundbreaking paper
they published earlier this year, in which they demonstrate how
shockingly accurate machine learning systems can be at determining
race. Starting from an accidental discovery to an arduous process
of eliminating surrogate indicators or proxies they were startled
to see how robust these model predictions were to signals virtually
imperceptible to even expert human observers, across modalities as
well as anatomic regions. They will also speak about the broader
questions of access to healthcare in across minority and
underrepresented groups, the importance of careful ML design
choicesi. The discussants address the concept of race as a social
construct, a predicter or health outcomes, myriad difficult
race-related questions science and society will have to tackle as
we embrace AI in Medicine.
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Special Thanks to @RandalSilvey of http://podedit.com for editing and post processing support.