MIT Sloan: Lead AI Adoption Across Your Organization — Not Just Pilot It
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Explore the current reality and future implications of artificial intelligence in healthcare through this 30-minute conversation between security technologist Bruce Schneier and physician Dr. Leana Wen. Examine how AI is already making medical decisions behind the scenes, often without patient awareness, and discover where these technologies are quietly saving lives versus where they fall short. Learn about the distinction between predictive and generative AI in medical contexts, and understand how AI's speed, scale, scope, and sophistication are transforming healthcare delivery. Investigate whether AI will widen or reduce health inequities, and consider how artificial intelligence is changing medical training and professional roles. Delve into critical questions of trust, transparency, and accountability in AI-powered healthcare systems, moving beyond the hype to address how power structures are built into these technologies. Gain practical insights on how patients should approach AI tools today, while exploring the argument that AI serves not as a replacement for clinicians but as a powerful tool for expanding care access, particularly in underserved areas where it may be "better than no doctor at all." Understand why the future of medicine involves clinicians who know how to use AI replacing those who don't, and examine the essential relationship between transparency and trust in medical AI systems.
Syllabus
AI is already embedded in healthcare
Predictive AI vs. generative AI
Speed, scale, scope, and sophistication
Will AI widen or reduce health inequities?
How AI changes medical training and roles
Trust, transparency, and accountability
How patients should use AI today
Taught by
TEDMED