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Digital Policing: Facial Recognition Software and Community Resistance
How can we come together to push back on the deployment of facial recognition technologies by police forces, schools, and other civic institutions? What are the best strategies for the successful abolition of these and other carceral technologies?

The second in our Big Data at the Margins series examines how the digitization and datafication of the criminal Justice system has intersected with the development and deployment of AI-driven technologies like facial recognition and predictive policing. Police forces in Canada have been eager to use facial recognition to identify and arrest, raising major concerns surrounding data privacy and the civil rights of the accused. Civil society activists ranging from the Water Protectors of Standing Rock to the Black Lives Matter activists of this past summer's uprisings against policy brutality and the carceral have been similarly targeted for FRT surveillance by law enforcement authorities. And algorithms used in the US criminal justice system to predict recidivism have drawn international condemnation for their potential for bias against Black defendants. This intensification of policing via digital tools has been met by stiff resistance by communities across North America, calling not only for many of these technologies to be banned, but also for the broader dismantling of the irredeemably racist elements of the carceral state.

Feb 25, 2021 07:00 PM in Eastern Time (US and Canada)

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