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TZID:America/New_York
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BEGIN:STANDARD
DTSTART:20241103T020000
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DTSTART:20250309T020000
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DESCRIPTION:Title: Rethinking User Interface Design in the Era of AI Agent
 s Abstract: Artificial intelligence agents are rapidly reshaping how user
 s interact with digital systems. From embedded copilots to autonomous tas
 k executors\, agents are no longer confined to chat interfaces—they are b
 ecoming integral components of modern user interfaces. In this talk\, we 
 will share a series of real-world cases and practical lessons drawn from 
 building agent-driven systems in research and data-intensive environments
 . We will examine how agents are currently embedded into interfaces\, wha
 t architectural decisions influence usability and trust\, and what design
  trade-offs emerge when combining autonomy with human control. We will al
 so discuss how AI agent tools themselves are transforming the UI design w
 orkflow—from rapid prototyping to code generation and interaction simulat
 ion. Huan He\, PhD \, is a research scientist in biomedical informatics a
 nd data science at Yale University School of Medicine. His primary resear
 ch areas revolve around visual analytics and their applications in health
 care-related research. Currently\, his work is focused on designing and d
 eveloping visual analytics systems using natural language processing (NLP
 ) and machine learning (ML) technologies\, with the goal of facilitating 
 data exploration for health-related clinical questions.\n\nSpeaker:\nHuan
  He\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/
 nlpllm-interest-group-23/\n
DTEND;TZID=America/New_York:20260216T170000
DTSTAMP:20260502T034236Z
DTSTART;TZID=America/New_York:20260216T160000
LOCATION:Zoom: Passcode Required\, URL: https://yale.zoom.us/j/93599941969
SEQUENCE:0
STATUS:Confirmed
SUMMARY:NLP/LLM Interest Group
UID:9e212b1a-1ac4-47c7-9f14-1459f7375dca
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