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VERSION:2.0
PRODID:-//AfroTech Conference//Schedule//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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UID:62e2c173-2744-4e14-ad16-8088ccc0de45@afrotechconference.com
DTSTAMP:20260904T084831Z
DTSTART:20261104T202000Z
DTEND:20261104T213000Z
SUMMARY:From Bias Evaluation to Trustworthy Healthcare AI Implementation
DESCRIPTION:AI tools are moving from pilot to deployment across healthcare\, and the stakes around bias\, governance\, and oversight are no longer theoretical. Dr. Tiffani J. Bright provides a practical roadmap for implementing trustworthy AI\, covering how to evaluate algorithmic bias\, assess data representativeness\, build governance structures\, and sustain continuous monitoring.  Attendees leave with concrete strategies for deploying equitable\, high-performing AI in real clinical settings.\n\nSession ID: 62e2c173-2744-4e14-ad16-8088ccc0de45\n\nhttps://afrotechconference.com/schedule#session-62e2c173-2744-4e14-ad16-8088ccc0de45
LOCATION:HealthStack General Session (Marriott)
URL:https://afrotechconference.com/schedule#session-62e2c173-2744-4e14-ad16-8088ccc0de45
X-WR-TIMEZONE:America/Chicago
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