Artificial Intelligence in (AI-Driven) Healthcare
Apr 14, 2026•Channel
AI Analysis
Data from YouTube Data API v3•Updated Just now
Video Overview
Video Details
Published3 months ago
Duration39:44
Video IDD-Ewx3KCDmM
Languageen
CategoryEducation
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views1.1K
Likes25
Comments4
Engagement Rate2.67%
Likes per 100 views2.30
Comments per 1K views3.68
Video Tags
#ai in healthcare#ai ethics in healthcare#healthcare ai bias#racial bias in medical algorithms#healthcare data privacy#algorithmic decision making#facial recognition bias#image generation bias#healthcare spending proxy#racial health disparities#human judgment in healthcare#community participation in ai#local control of ai models#sensitive health data#data trusts#public good technology.
Description
AI in healthcare raises urgent questions about bias, privacy, and power. Safiya U. Noble, Ph.D., examines how AI systems can reproduce social and racial inequities when they rely on incomplete data, hidden assumptions, and proxies such as healthcare spending. Noble points to problems in search engines, image generation, facial recognition, and medical algorithms, including cases where systems mislabel darker skin, fail more often on Black women, or favor white patients over sicker Black patients. She also highlights the risks of turning sensitive public and patient data over to large technology companies. Rather than treating AI as a neutral solution, Noble emphasizes the need for human judgment, community participation, stronger data protections, and smaller expert models with local control so healthcare decisions better reflect people’s real lives and social context. Recorded on 01/30/2026. [Show ID: 41364]
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