Colloquium – Dr Miranda Mowbray, University of Bristol

Monday 26th NovemberMonday 26th November 2018

Title: Predictive analytics: you can’t have it all

I will talk about limits to predictive analytics. The main application I’ll talk about is recidivism prediction – predicting whether a convicted criminal is likely to reoffend. However what I will say applies to predictive analytics more generally. As Alexandra Choldecova pointed out in the wake of a controversy about the COMPAS recidivism prediction algorithm, except in trivial cases, it is not mathematically possible to maximize the accuracy of recidivism prediction while meeting some fairness requirements for groups with different underlying recidivism rates. It is a policy choice whether or not to accept reduced accuracy, at least in the short term, in return for meeting fairness conditions. I will discuss this and some other limits to prediction that require policy choices. To make these choices, we need informed discussion and collaboration between techies, lawyers and policy makers. Just for fun, my slides will include 79 cats, a catbot, and Catwoman.

Further information

The talk will be held in Enderby Lecture Theatre (B16/B17), Physics, from 5pm – 6pm and will be followed by a drinks reception in the Maths common room.

The talk is open to all University of Bristol staff and students as well as the general public. We ask that all attendees please register in advance of the event.

Register to attend

 

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