BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:IC Colloquium: Fairness and Diversity in Online Social Systems
DTSTART:20180226T101500
DTEND:20180226T113000
DTSTAMP:20260609T230410Z
UID:76fb4fd074d9c4ff9c5187213df48069012f3a97ed45298132ea9c69
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Elisa Celis - EPFL\nIC Faculty candidate\n\nAbstract:\nSoc
 ial systems are now fueled by algorithms that facilitate and control conne
 ctions and information. Simultaneously\, computational systems are now fue
 led by people -- their interactions\, data\, and behavior. Consequently\, 
 there is a pressing need to design new algorithms that are socially respon
 sible in how they learn\, and socially optimal in the manner in which they
  use information. In this talk\, I will share some of my research efforts 
 to address such problems at this interface of social and computational sys
 tems. I will first explain the emergence of bias in algorithmic decision m
 aking and present first steps towards developing a systematic framework to
  control biases in classical problems such as data summarization and perso
 nalization. I will then consider how crowdsourced information is used\, an
 d new mechanisms that can increase diversity in a way that improves user e
 xperiences. Together\, this work leads to new algorithms that have the abi
 lity to alleviate bias and increase diversity while often simultaneously m
 aintaining their theoretical or empirical performance with respect to the 
 original metrics.\n\nBio:\nElisa Celis is a Senior Research Scientist at t
 he School of Computer and Communication Sciences at EPFL. Prior to joining
  EPFL\, she worked as a Research Scientist at Xerox Research where she was
  the worldwide head of the Crowdsourcing and Human Computation research th
 rust. She received a B.Sci. degree in Computer Science and Mathematics fro
 m Harvey Mudd College and a Ph.D. in Computer Science from the University 
 of Washington. Her research focuses on studying social and economic questi
 ons that arise in the context of the Internet and her work spans multiple 
 areas including fairness in AI/ML\, social computing\, online learning\, n
 etwork science\, and mechanism design. She is the recipient of the Yahoo! 
 Key Challenges Award and the China Theory Week Prize.\n\nMore information\
 n 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR