BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Ethics for the working mathematician\, discussion 4: Fairness and 
 impartiality in algorithms and AI - Maurice Chiodo (University of Cambridg
 e)
DTSTART:20211102T160000Z
DTEND:20211102T170000Z
UID:TALK164557@talks.cam.ac.uk
CONTACT:Artem Khovanov
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 ‘solution
 s’ in these instances can bring about a whole new set of problems.\n\nFo
 r more information about this series of discussions\, please see https://c
 ueims.soc.srcf.net/2021.
LOCATION:Google Meet - https://meet.google.com/vik-qerr-bwi
END:VEVENT
END:VCALENDAR