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SUMMARY:Ethics for the working mathematician\, lecture 4: Fairness and imp
 artiality in algorithms and AI. - Maurice Chiodo (University of Cambridge)
DTSTART:20181030T163000Z
DTEND:20181030T173000Z
UID:TALK112057@talks.cam.ac.uk
CONTACT:Maurice Chiodo
DESCRIPTION:Algorithms run the world\, and mathematicians are designing th
 em. Algorithms decide what people read\, what they buy\, and when then can
  get a loan. We often design these systems to remove human subjectivity fr
 om decision making processes and to make them impartial\, as is being done
  with predictive policing algorithms and prison sentencing algorithms. But
  how impartial\, or fair\, can a system designed by humans ever be? Moreov
 er\, the internet and big data have given rise to massive new potential\, 
 from targeted political advertising as done by Cambridge Analytica\, to AI
  technology such as deepfake videos and self-driving cars. Our "solutions"
  in these instances can bring about a whole new set of problems.
LOCATION:MR4\, Centre for Mathematical Sciences
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