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SUMMARY:Ethics for the working mathematician\, discussion 4: Fairness and 
 impartiality in algorithms and AI - Maurice Chiodo (University of Cambridg
 e)
DTSTART:20201103T160000Z
DTEND:20201103T170000Z
UID:TALK152404@talks.cam.ac.uk
CONTACT:Toby Clifton
DESCRIPTION:Algorithms run the world\, and mathematicians are designing th
 em.\nAlgorithms decide what people read\, what they buy\, and when then ca
 n get\na loan. We often design these systems to remove human subjectivity 
 from\ndecision making processes and to make them impartial\, as is being d
 one\nwith predictive policing algorithms and prison sentencing algorithms.
 \nBut how impartial\, or fair\, can a system designed by humans ever be?\n
 Moreover\, the internet and big data have given rise to massive new\npoten
 tial\, from targeted political advertising as done by Cambridge\nAnalytica
 \, to AI technology such as deepfake videos and self-driving\ncars. Our 's
 olutions' in these instances can bring about a whole new set\nof problems.
 \n\nFor more information about this series of discussions\, please see htt
 ps://cueims.soc.srcf.net/2020.
LOCATION:Google Meet - https://meet.google.com/nmr-kumf-drc
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