Questions and Discussion
Panelat Wrong at the Root: Racial Bias and the Tension Between Numbers and Words in Non-Internet Data · 2019-06-05..06-07·
summary
Canadian electronic health records often record no race in Canadian EHR, while France forbids racial categories for historical reasons, creating blind spots for auditing models. Participants propose cryptographic noisy race measures to allow fairness audits without exposing identities. A practical effort called Nightingale data platform tries pooling hospital data for shared research access and has early institutional interest. Warnings include that genomics and microbiome signals are socially shaped and need contextual variables, not biological shortcuts.
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chapters (4)
- 0:00Start
- 4:41What Is Race Being Used for in the Research and How Is It Being Defined
- 8:18Issues of Racism in the Health Systems
- 14:18Google Inclusive Images Challenge
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