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SUMMARY:AI Interacting with People (through Language) - Prof Hal Daume III
  (University of Maryland)
DTSTART:20250522T100000Z
DTEND:20250522T110000Z
UID:TALK231037@talks.cam.ac.uk
CONTACT:Shun Shao
DESCRIPTION:Abstract:\nI'll discuss three projects related to understandin
 g how people and AI-infused systems can and should interact. In the first\
 , I'll discuss AI communicating to people\, in a shared environment\, and 
 how we can use highlighting and possible alternatives as a way to combat c
 onfabulations (aka hallucinations). In the second\, I'll discuss people co
 mmunicating to AI systems\, and how we can leverage language's capability 
 to describe the same behavior at multiple levels of abstraction. Finally\,
  I'll discuss people and AI interacting at the low level of predictive tex
 t systems\, and how subtle differences in the behavior of the AI system ca
 n - or can not - change people's behavior.\n\n\n\n\nBio:\n\nHal Daumé III
  is the Director of AIM\, the AI Interdisciplinary Institute at Maryland. 
 He is a Volpi-Cupal endowed Professor of Computer Science and Language Sci
 ence at the University of Maryland\, where he also leads TRAILS\, an NSF &
  NIST-funded institute on Trustworthy AI. His research focus is on develop
 ing natural language processing systems that interact naturally with peopl
 e\, promote their self-efficacy\, while mitigating societal harms. Togethe
 r with his students and colleagues\, he has received five best paper award
 s\, a best demo award\, and a test of time award. He has been program chai
 r for the International Conference on Machine Learning in 2020 (together w
 ith Aarti Singh) and for the North American Association for Computational 
 Linguistics in 2013 (together with Katrin Kirchhoff)\, and he was an inaug
 ural diversity and inclusion co-chair at the Neural Information Processing
  Systems Conference in 2018 (with Katherine Heller).\n
LOCATION:GR05\, English Faculty Building\, 9 West Road\, Sidgwick Site and
  online https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdX
 VpOXFvdz09
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