Did you see the 2002 movie Minority Report? Back then, it was science fiction; now it’s getting close to reality. In Minority Report, police departments had “PreCrime” units where “precogs” (strange psychic bodies that lived in liquid pools) were able to predict when a person was going to commit a crime. Based on this knowledge, the police would arrest the individual before they had the chance to commit the crime.
Today, police departments are utilizing predictive policing technology to pre-empt criminal activity. They don’t employ precogs, but they do use algorithms. And they aren’t arresting people before they commit a crime – at least not yet, but they do plan policing day-by-day based on software predictions. Utilizing algorithms, the Los Angeles Police Department’s program PredPol (the title itself sounds dystopian) identifies 150 square-meter areas where certain types of crime are more likely to occur on any given day. The PredPol technology got its start when then LAPD Chief, Bill Bratton, went to UCLA researchers seeking a way to use the historical data compiled by the LAPD to pre-emptively deploy the police force wherever crime was likely to occur. Using the PredPol algorithms the LAPD sends units to patrol these “hotspots” based on the predictions.
This is not a matter of just beefing up the police force in high-crime areas, it’s way beyond that. Data is continuously fed into the model resulting in ever-changing predictions. The algorithms predict the highest risk areas for any particular crime on any particular day and at any particular time, thereby theoretically (and perhaps factually) stopping the crime before it happens, or at least being there when it does.