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PRODID:-//AfroTech Conference//Schedule//EN
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UID:e9391d86-27fa-4a75-9eca-a8cafb0f601f@afrotechconference.com
DTSTAMP:20261010T150141Z
DTSTART:20261104T162000Z
DTEND:20261104T172000Z
SUMMARY:Building Fairness Into the Data Supply Chain
DESCRIPTION:Bias in clinical AI can begin before training\, embedded in decisions about missing data\, labels\, and success metrics. Waverly Rose Brim explores how strong overall AI model performance can mask harm to Black patients and the underinsured. Through a hands-on\, fairness-aware audit workflow using real CDC data\, she guides attendees in testing the assumptions built into a clinical pipeline. Together\, you’ll examine how upstream modeling choices change who qualifies for treatment and search for hidden harm in overlooked subgroups. You’ll leave with a repeatable audit method and a go/no-go deployment checklist. Bring your laptop to participate. NVIDIA has partnered with Brim to provide complimentary access codes for select NVIDIA Deep Learning Institute courses\, helping attendees continue learning beyond the workshop.\n\nSession ID: e9391d86-27fa-4a75-9eca-a8cafb0f601f\n\nhttps://afrotechconference.com/schedule#session-e9391d86-27fa-4a75-9eca-a8cafb0f601f
LOCATION:HealthStack Seminar Room (Marriott)
URL:https://afrotechconference.com/schedule#session-e9391d86-27fa-4a75-9eca-a8cafb0f601f
X-WR-TIMEZONE:America/Chicago
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