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X-WR-CALNAME:ICS Colloquium: Dr. Theodora Chaspari\, Associate Professor\, 
 ICS and Department of Computer Science\, University of Colorado Boulder
X-WR-TIMEZONE:Mountain Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260914T120143Z
UID:tag:localist.com\,2008:EventInstance_45253884408452
DTSTART:20240301T190000Z
DTEND:20240301T210000Z
DESCRIPTION:Title: Toward Trustworthy AI for Mental Healthcare: Exploring S
 ocio-Demographic Bias\, Privacy Risks\, and Collaborative Decision-Making\
 n\nPresenter: Dr. Theodora Chaspari\, Associate Professor\, ICS and Depart
 ment of Computer Science\, University of Colorado Boulder\n\nAbstract: The
  rise in accessibility of smartphones and wearable devices has revolutioni
 zed the monitoring of human states beyond laboratory settings. This advanc
 ement has resulted in the collection of real-life\, multimodal\, temporal 
 data\, forming a valuable basis for developing machine learning (ML) algor
 ithms that track an individual's internal and contextual states\, holding 
 great promise for enhancing mental healthcare. Simultaneously\, the relati
 onship between humans and AI has evolved into a collaborative dynamic\, wh
 ere humans and AI systems work together towards common objectives. However
 \, several challenges\, both technical and societal\, hinder the widesprea
 d adoption of such technologies. This talk will discuss the concept of tru
 st in human-centered AI. Specifically\, it will explore concerns related t
 o unintentional disclosure of personal information when using multi-modal 
 bio-behavioral signals in ML systems\, and investigate potential socio-dem
 ographic biases that arise from these systems. Additionally\, the talk wil
 l present findings from decision-making tasks that involve human clinician
 s collaborating with explainable AI systems to estimate human states and m
 ental health outcomes.\n\nBio: Theodora Chaspari is an Associate Professor
  in Computer Science and the Institute of Cognitive Science at University 
 of Colorado Boulder. She has received a B.S. (2010) in Electrical & Comput
 er Engineering from the National Technical University of Athens\, Greece a
 nd M.S. (2012) and Ph.D. (2017) in Electrical Engineering from the Univers
 ity of Southern California (USC). She was a Research Assistant at the Sign
 al Analysis and Interpretation Laboratory at USC (2010-2017) and an Assist
 ant Professor at Texas A&M University (2017-2023). Theodora’s research i
 nterests lie in human-centered machine learning\, affective computing\, an
 d biomedical health informatics. She is a recipient of the TEES Dean of En
 gineering Excellence Award (2022)\, NSF CAREER Award (2021)\, and USC Wome
 n in Science and Engineering Merit Fellowship (2015). Papers co-authored w
 ith her students have been nominated and won awards at the ACM BuildSys 20
 19\, IEEE ACII 2019\, ASCE i3CE 2019\, and IEEE BSN 2018 conferences. She 
 is serving as an Editor of the Elsevier Computer Speech & Language. Her wo
 rk is supported by federal and private funding sources\, including the NSF
 \, NIH\, NASA\, IARPA\, AFOSR\, General Motors\, and the Engineering Infor
 mation Foundation.
GEO:40.008252;-105.268415
LOCATION:Muenzinger Psychology\, D430
SUMMARY:ICS Colloquium: Dr. Theodora Chaspari\, Associate Professor\, ICS a
 nd Department of Computer Science\, University of Colorado Boulder
URL;VALUE=URI:https://calendar.colorado.edu/event/ics_colloquium_dr_theodor
 a_chaspari_associate_professor_university_of_colorado_boulder
CATEGORIES:Colloquium/Seminar
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