Thursday, March 29, 2018

Field-Data Study Finds No Evidence of Racial Bias in Predictive Policing
"While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests.  A computer scientist in the school of Science at IUPUI conducted the first study to look at real-time field data from Los Angeles and found predictive policing did not result in biased arrests."

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While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests. A computer scientist in the School of Science at IUPUI conducted the first study to look at real-time field data from Los Angeles and found predictive policing did not result in biased arrests.

Read more at: https://phys.org/news/2018-03-field-data-evidence-racial-bias-policing.html#jCp
While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests. A computer scientist in the School of Science at IUPUI conducted the first study to look at real-time field data from Los Angeles and found predictive policing did not result in biased arrests.

Read more at: https://phys.org/news/2018-03-field-data-evidence-racial-bias-policing.html#jCp
While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests. A computer scientist in the School of Science at IUPUI conducted the first study to look at real-time field data from Los Angeles and found predictive policing did not result in biased arrests.

Read more at: https://phys.org/news/2018-03-field-data-evidence-racial-bias-policing.html#jCp

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