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CATEGORIES:C.U. Ethics in Mathematics Society (CUEiMS)
SUMMARY:Ethics for the working mathematician\, discussion 
 4: Fairness and impartiality in algorithms and AI 
 - Maurice Chiodo (University of Cambridge)
DTSTART;TZID=Europe/London:20211102T160000
DTEND;TZID=Europe/London:20211102T170000
UID:TALK164557AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/164557
DESCRIPTION:Algorithms run the world\, and mathematicians are 
 designing them. Algorithms decide what people read
 \, what they buy\, and when then can get a loan. W
 e often design these systems to remove human subje
 ctivity from decision making processes and to make
  them impartial\, as is being done with predictive
  policing algorithms and prison sentencing algorit
 hms. But how impartial\, or fair\, can a system de
 signed by humans ever be? Moreover\, the internet 
 and big data have given rise to massive new potent
 ial\, from targeted political advertising as done 
 by Cambridge Analytica\, to AI technology such as 
 deepfake videos and self-driving cars. Our ‘soluti
 ons’ in these instances can bring about a whole ne
 w set of problems.\n\nFor more information about t
 his series of discussions\, please see https://cue
 ims.soc.srcf.net/2021.
LOCATION:Google Meet - https://meet.google.com/vik-qerr-bwi
CONTACT:Artem Khovanov
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