Ethics for the working mathematician, discussion 4: Fairness and impartiality in algorithms and AI

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• Maurice Chiodo (University of Cambridge)
• Tuesday 03 November 2020, 16:00-17:00
• Google Meet - https://meet.google.com/nmr-kumf-drc.

If you have a question about this talk, please contact Toby Clifton.

Algorithms run the world, and mathematicians are designing them. Algorithms decide what people read, what they buy, and when then can get a loan. We often design these systems to remove human subjectivity from 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? Moreover, 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.

For more information about this series of discussions, please see https://cueims.soc.srcf.net/2020.

This talk is part of the C.U. Ethics in Mathematics Society (CUEiMS) series.

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• C.U. Ethics in Mathematics Society (CUEiMS)
• Cambridge talks
• Google Meet - https://meet.google.com/nmr-kumf-drc
• Trust & Technology Initiative - interesting events
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