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SUMMARY:Reading Between the Algorithms: Understanding and Using Generative AI
DESCRIPTION:This class invites learners across the medical and 
 health‑sciences community to consider generative AI and develop a genuine 
 and critical literacy for clinical practice and research. The course aims 
 to confront two driving questions: How do the bold promises--that AI will 
 revolutionize clinical practice and upend research methods--hold up when 
 measured against what these applications can actually do? And what ethical 
 concerns emerge from the way generative models are built\, trained\, and 
 deployed—including the labor\, data\, and power structures behind 
 them?\nLed by one of Countway's Librarians\, this class will explore the 
 structure and science of generative AI tools\, ethical issues in usage\, 
 highlight specific use-cases\, and demonstrate workflows that increase 
 veracity\, reduce sycophancy and mitigate hallucinations from 
 outputs.\nTypes of tools covered will include: basic Large Language 
 Models\, RAG Models\, and Agentic Models used across a variety of 
 applications in medicine\, public health\, and healthcare delivery practice 
 and research.
ORGANIZER;CN="Carrie Wade":MAILTO:carrie_wade@hms.harvard.edu
CATEGORIES:Research Skills
CONTACT;CN="Carrie Wade":MAILTO:carrie_wade@hms.harvard.edu
STATUS:CONFIRMED
UID:LibCal-15841613
URL:https://libcal.countway.harvard.edu/event/15841613
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