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X-WR-CALNAME:Human-AI collaboration
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UID:2022-10-24-mark-steyvers@cml.ics.uci.edu
DTSTAMP:20221024T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20221024T130000
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SUMMARY:[CML Seminar] Mark Steyvers: Human-AI collaboration
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Mark Steyvers\, Professor of Cognitive Sciences\, University of
California\, Irvine\n\nTitle: Human-AI collaboration\n\nAbstract: Artific
ial intelligence and machine learning models are being increasingly deploy
ed in real-world applications where there is strong motivation to develop
hybrid systems in which humans and AI algorithms work together. I will dis
cuss a Bayesian framework for statistically combining predictions from hum
ans and machines while accounting for the unique ways human and algorithmi
c confidence is expressed\, recent work on AI-assisted decision making and
estimating individual AI-reliance policies\, and the question of machine
theory of mind — how humans and machines can efficiently form mental mod
els of each other.\n\nhttps://cml.ics.uci.edu/seminars/2022-10-24-mark-ste
yvers
X-ALT-DESC;FMTTYPE=text/html:Mark Steyvers\, Professor o
f Cognitive Sciences\, University of California\, Irvine
Title:<
/b> Human-AI collaboration
Abstract: Artificial intelligence
and machine learning models are being increasingly deployed in real-world
applications where there is strong motivation to develop hybrid systems i
n which humans and AI algorithms work together. I will discuss a Bayesian
framework for statistically combining predictions from humans and machines
while accounting for the unique ways human and algorithmic confidence is
expressed\, recent work on AI-assisted decision making and estimating indi
vidual AI-reliance policies\, and the question of machine theory of mind
— how humans and machines can efficiently form mental models of each oth
er.
https://cml.ics.uci.edu/seminars/2022-10-24-mark-steyvers<
/html>
URL:https://cml.ics.uci.edu/seminars/2022-10-24-mark-steyvers
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