Sociologist who studies police and data: Algorithm can further bias - Business Insider

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I'm a sociologist who studies how police use data. Relying on algorithms can further bias and inequality — but it doesn't have to be that way. (by Sarah_Brayne)

TIMOTHY A. CLARY/AFP via Getty ImagesSarah Brayne is an assistant professor of sociology at The University of Texas at Austin; prior to joining the faulty at UT-Austin, Brayne was a Postdoctoral Researcher at Microsoft Research.

But data can help identify non-police functions and maximize public safety, like when a mobile mental health crisis team might be more helpful.Business leaders and social scientists know: bad data in, bad data out. As the country struggles with demands for systemic change in policing, would-be reformers are suggesting that "data-driven policing" should be part of the solution. It won't solve the problem.

The same politicians and reformers who call for more data, better data, and bigger databases to rein in police brutality hopefully suggest we apply them to any number of other problems in policing: Defunding the police and need to cut costs? Data can help allocate resources most efficiently. Need to reduce racial bias in officer decision-making? Automate it. Want to reduce the categorical suspicion of young Black men and more accurately predict crimes? Try predictive algorithms.

 

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Sarah_Brayne I don’t care about bias, data and inequality I care about the police being able to police! This type of crap is why we have the problems we do today!

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