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VERSION:2.0
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CALSCALE:GREGORIAN
X-WR-CALNAME:Directions in Hybrid Intelligence: Discovering Blind Spots of 
 AI 
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261014T050304Z
UID:tag:localist.com\,2008:EventInstance_2993887
DTSTART:20170921T230000Z
DTEND:20170922T000000Z
DESCRIPTION:CAIS Seminar Abstract:\n\nDespite advances in AI\, machines sti
 ll have limitations in accomplishing tasks that come naturally to humans. 
 When AI systems are fielded in the open world\, these limitations cause co
 ncerns around reliability\, biases and trust. In this talk\, Dr. Kamar wil
 l argue that hybrid systems that combine the strengths of machine and huma
 n intelligence is key to overcoming the limitations of AI algorithms and d
 eveloping reliable systems. She will provide an overview of multiple proje
 cts\, which investigate how to integrate human intelligence into the train
 ing\, execution and troubleshooting of AI systems. \n\n \n\nSpeaker:\n\nDr
 . Ece Kamar is a Senior Researcher in the Adaptive Systems and Interaction
  Group at Microsoft Research. She received her Ph.D. in computer science f
 rom Harvard University. Her work spans several subfields of AI\, including
  planning\, machine learning\, multi-agent systems and human-computer team
 work and is inspired by real-world applications.
GEO:34.018665;-118.286389
LOCATION:Mudd Hall (MHP)\, 101
SUMMARY:Directions in Hybrid Intelligence: Discovering Blind Spots of AI 
URL;VALUE=URI:https://calendar.usc.edu/event/cais_seminar_directions_in_hyb
 rid_intelligence_discovering_blind_spots_of_ai
CATEGORIES:Lecture / Talk / Workshop
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