How are data-driven predictive policing techniques preventing crime? What are the risks?

August 28, 2018 in

"[...] data can distort policing. Officers sent to an area flagged as being at risk of violent crime may see routine encounters as more threatening, thus making them more likely to use force. Second, the growing web of surveillance threatens to chill associational freedoms, political expression and expectations of privacy by eroding public anonymity. Third, even with the best use policies in place, officers have access to vast amounts of personal information of people not suspected of any crime. Finally, without carefully chosen data inputs, long-standing racial, societal and other forms of bias will be reified in the data."

Read more about this topic in the Economist interview with Andrew Ferguson,a former public defender and now professor at the University of the District of Columbia - author of “The Rise of Big Data Policing”: