> Used by police across the United States for almost a decade, predictive policing relies on algorithms to interpret police records, analyzing arrest or parole data to send officers to target chronic offenders, or identifying places where crime may occur.
The promise of the software made in a sales pitch or on the website, is a far cry from the reality of what such software delivers. That's fine when it's business, the cost of a mistake is a p&l hit. But here we are talking about people's lives, far stricter processes should be in place, more similar to getting approval for a new airplane or medicine. To be clear, predictive policing is replacing detectives/experts with software, like a kind of robo-policing, where decisions to investigate are generated by a system and handed to cheaper uniformed police who lack the context behind the decision support system they are now serving, because software becomes a black box.
Any consumer who has ever dealt with even state-of-the-art call centers, knows that humans do a far better job at real-world operations.
This is a premature application of software.
The promise of the software made in a sales pitch or on the website, is a far cry from the reality of what such software delivers. That's fine when it's business, the cost of a mistake is a p&l hit. But here we are talking about people's lives, far stricter processes should be in place, more similar to getting approval for a new airplane or medicine. To be clear, predictive policing is replacing detectives/experts with software, like a kind of robo-policing, where decisions to investigate are generated by a system and handed to cheaper uniformed police who lack the context behind the decision support system they are now serving, because software becomes a black box.
Any consumer who has ever dealt with even state-of-the-art call centers, knows that humans do a far better job at real-world operations.
This is a premature application of software.