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Transcripts For CSPAN QA Sarah Brayne Predict And Surveil 20240711

patients will be in more trouble. easterny night at 8:00 on the communicators on c-span2. susan: your new book seems like it is well-timed for a national debate on policing. you tell readers that you have been working on this for a decade. how did you get started in this interest in big data and the police? sarah: when i was a phd student at princeton, back in 2012, this was when the start of enthusiasm over big data was happening. i started to ask, how are the police, court, corrections leveraging things like predictive algorithms? how is it changing their daily operations? i quickly realized that there wasn t actually very good data on police use of big data. that s when i decided to pursue a study on that question. susan: we will have lots of time to export the details. what is the conclusion that you came to after you spent this amount of time investigating the topic? sarah: basically that instead of thinking about data as some sort of objective or fundamentally unbiase

Transcripts For CSPAN QA Sarah Brayne Predict And Surveil 20240711

c-span.org, or listen on the free c-span radio app. susan: sarah brayne, your new book seems like it is well-timed for a national debate on policing, but you tell readers you ve been working on the project about a decade. how did you get started in this interest in big data and the police? sarah: when i was a phd student at princeton i think it was back in 2012, this is when there was the start of enthusiasm over big data was happening. people were saying big data is transforming everything from finance to sports to journalism, marketing, insurance, education. but no one was yet working on how big data would or would not transform the criminal justice system. i d had a long-standing interest in the criminal justice system and i started to ask, how are the police, courts, corrections, leveraging things like predictive algorithms and how is it changing daily operations? i quickly realized there was not actually ironically very good data on police use of big data, and that s w

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