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SUMMARY:Fairness and impartiality in algorithms and AI - Maurice Chiodo\, 
 Centre for the Study of Existential Risk\, Cambridge
DTSTART:20251103T160000Z
DTEND:20251103T180000Z
UID:TALK237118@talks.cam.ac.uk
CONTACT:118699
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. \n\nThis 
 talk is part 4 of the seminar series _Ethics in Mathematics_ hosted by the
  Cambridge University Ethics in Mathematics Society over Michaelmas. The e
 vent will consist of an interactive lecture followed by a discussion sessi
 on.
LOCATION:Meeting Room 13\, CMS\, Wilberforce Road\, Cambridge\, CB3 0WB
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