Episode 19: Data bias in policing
In our previous CNA Justice Talks podcast, we discussed the impacts of case backlogs on stakeholders system-wide. In this episode, Hildy Saizow leads a discussion with Dr. Andrew Ferguson, Luther Tyus, and Amada Bond on the history of data bias in policing, how predictive policing models can disproportionately inflict harm on under-resourced communities, and important considerations for police agencies seeking to mitigate data bias and its harms.
CNA Office of Communications
John Stimpson, Communications Associate