A recent study from New York University School of Law and NYU’s AI Now Institute examined data programs in troubled police departments in Chicago, New Orleans and Maricopa County, Ariz.
The study concluded that “dirty data” lead to biased policing and unlawful predictions. Those policies repeatedly send officers to the same neighborhoods, regardless of the crimes committed, the study found.
Rashida Richardson, director of policy research at the AI Now Institute and a co-author of the report, said Smith’s findings mirrored suspicions that police target specific communities.
“This shows a larger policing problem,” she said. “None of this is standardized. A lot of this system is one-sided.”
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