Artificial Intelligence and IoT Helping Police Solve Crimes
Modern technology makes our lives better in many ways, and one of them is its ability to help the police solve crimes. Connected digital devices like Fitbits and Amazon Dots have already been used to help police make arrests, and it’s only the tip of the iceberg. While holding people accountable for the crimes they commit is certainly beneficial, there are also some challenges this type of approach brings with it.
You may not realize it, but your actions are constantly being recorded in one way or another, whether it’s through your fitness band, your smartphone, or your gaming console. The type of data such devices keep track of can be used to support alibis or catch people in a lie. This gives detectives far more information at their disposal to help crack cases.
Body cameras, meanwhile, have been helping police by providing an unbiased record of interactions, and their mere presence is believed to encourage good behavior. Some squad cars even have GPS projectiles that officers can shoot remotely onto the back of a suspect’s’ vehicle to find them if they attempt to flee, preventing high-speed pursuits.
One area where the technology is being met with some concern, however, is predictive policing. Some law enforcement agencies are making use of tools that rank the probability that a person will commit future offenses based on factors like the severity of their crime, their flight risk, and their criminal history.
These tools have come under fire because they have a tendency to flag minority defendants as having a high risk of re-offending at twice the rate of white ones. In fact, a ProPublica study found that it’s the bias of the humans who created the programs that has caused these formulas to develop biases of their own.
Even though there are some concerns that need to be addressed, law enforcement is already using these new technologies to keep our cities safer.
This blog post was based off of an article from Forbes. View the original here.