How might data analytics improve policing?
Security agents can use predictive system devices that use analyzed data to predict or pinpoint the next crime location. For instance, Santa Cruz police officers truck perpetrators by use of PredPol (predictive policing), such devices have the ability to analyzed crime data and predict for locations where the possible crime may take place. Furthermore, Richmond’s police department in the United States have successfully trucked the use of guns for theft or other criminal activities by use of historical data and hence were able to truck all random gunfire seizing 246% firearms used for an unlawful purpose.
How might it hurt policing? What ethical issues might be raised by predictive policing?
Since some of the predictive policing software uses algorithms that analyze human behavior, research has proved that some models used are perpetuating racial profiling and hence have little accountability and cannot be dependable when used to predict the perpetrators. According to Hannah Coachman, the use of bias data analyzed for predictive policing may result in human rights abuse as it can result in reporting the innocent, especially when such data whose authenticity not yet approved.