Themes in data mining, big data, and crime analytics

This article examines the impact of new AI-related technologies in data mining and big data on important research questions in crime analytics. Because the field is so broad, the review focuses on a selection of the most important topics. Challenges for information management, and in turn law and society, include: AI-powered predictive policing; big data for legal and adversarial decisions; bias using big data and analytics in profiling and predicting criminality; forecasting crime risk and crime rates; and, regulating AI systems. This article is categorized under: Algorithmic Development > Spatial and Temporal Data Mining Fundamental Concepts of Data and Knowledge > Big Data Mining Technologies > Artificial Intelligence Application Areas > Data Mining Software Tools

Automated summary

The impact of new AI-related technologies in data mining and big data on crime analytics includes challenges in predictive policing, legal and adversarial decision-making using big data, bias in profiling and predicting criminality, forecasting crime risk and rates, and regulating AI systems.