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SUMMARY:Discrimination in machine decision making
DTSTART:20170922T101500
DTEND:20170922T113000
DTSTAMP:20260408T033922Z
UID:855cf7f31d8519b81d15169f0a8265e62bf3b96ceea2af404880d57d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Krishna Gummadi\, Max Planck Institute\nBio: Krishna Gum
 madi\, who is a tenured faculty member and head of the Networked Systems r
 esearch group at the Max Planck Institute for Software Systems (MPI-SWS) i
 n Germany. He also holds an honorary professorship at the University of Sa
 arland. Krishna's research interests are in the measurement\, analysis\, d
 esign\, and evaluation of complex Internet-scale systems. His current proj
 ects focus on understanding and building social computing systems. His wor
 k on online social networks\, Internet access networks\, and peer-to-peer 
 systems has been widely cited and his papers have received numerous awards
 \, including SIGCOMM Test of Time\, IW3C2 WWW Best Paper Honorable Mention
 \, and Best Papers at NIPS ML & Law Symposium\, ACM COSN\, ACM/Usenix SOUP
 S\, AAAI ICWSM\, Usenix OSDI\, ACM SIGCOMM IMC\, and SPIE MMCN. He has als
 o co-chaired AAAI's ICWSM 2016\, IW3C2 WWW 2015\, ACM COSN 2014\, and ACM 
 IMC 2013 conferences.\nMachine (data-driven learning-based) decision makin
 g is increasingly being used to assist or replace human decision making in
  a variety of domains ranging from banking (rating user credit) and recrui
 ting (ranking applicants) to judiciary (profiling criminals) and journalis
 m (recommending news-stories). Recently concerns have been raised about th
 e potential for discrimination and unfairness in such machine decisions. A
 gainst this background\, in this talk\, I will pose and attempt to answer 
 the following high-level questions:\n\n(a) How do machines learn to make d
 iscriminatory decision making?\n(b) How can we quantify discrimination in 
 machine decision making?\n(c) How can we control machine discrimination? i
 .e.\, can we design learning mechanisms that avoid discriminatory decision
  making?\n(d) Is there a cost to non-discriminatory decision making?
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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