Facial recognition policing: It’s not just about improving algorithmic inaccuracies.
With a focus on the use of private technology companies and operational procedures, PhD researcher Tyler Dadge highlights several key questions that are yet to be answered concerning the police's use of facial recognition, and argues that algorithmic accuracy is just one issue amongst many when it comes to police use of this tech.
Does economic inequality fuel stop and search by the police? Evidence from London suggests the answer is ‘Yes’
Police officers more frequently stop and search members of the public in neighbourhoods where well-off and economically precarious people co-exist. Joel H. Suss and Thiago R. Oliveira show that this pattern holds up even when accounting for other important factors, such as previous local crime rates and a neighbourhood’s ethnic makeup. Although the evidence is that stop and search activity does little to reduce crime, the police persist with the practice in order to maintain social order