IDG Contributor Network: Can crime be predicted with AI/ML?

For many years, AI/ML has been used to establish the identity of perpetrators, the perpetrators’ whereabouts at the time of a criminal act and their actions and whereabouts prior to and following a criminal act. By hand, these are arduous tasks but AI categorization sifting through massive amounts of visual data along with ML behavior scripts AI/ML algorithms can eliminate human errors especially in witness identification and therefore increasing arrest accuracy. 

Public data collection can impede violent crime

“Predictive policing” is the practice of identifying the date, times and locations where specific crimes are most likely to occur, then scheduling officers to patrol those areas in hopes of preventing crimes from taking place, therefore keeping neighborhoods safer. After much research and input from major police departments in cooperation with software suppliers, predictive analytic models have been continuously refined. Further conclusions prioritized collections of the three most important data points: date and time of the crime, the location of the crime and type of crime – therefore, simplifying and possibly reducing data collection.

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