Advances in machine learning and artificial intelligence have sparked interest from governments that would like to use these tools for predictive policing to deter crime. Early efforts at crime prediction have been controversial, however, because they do not account for systemic biases in police enforcement and its complex relationship with crime and society. Scientists have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. The model can predict future crimes one week in advance with about 90% accuracy.
Algorithm Predicts Crime a Week in Advance, but Reveals Bias in Police Response
July 6, 2022 by Leave a Comment
The Secret to Solving the World’s Crimes Lies in Data
May 27, 2022 by Leave a Comment
In this contributed article, Chris Cardwell, Product Go-To-Market Lead for Tresata, discusses how data can help tackle the global problem that is financial crime, but there are challenges within the data itself that complicate investigations further.
