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.

中文翻译：

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数据挖掘、大数据和犯罪分析的主题

本文探讨了数据挖掘和大数据中新的人工智能相关技术对犯罪分析中重要研究问题的影响。由于该领域如此广泛，因此该评论侧重于选择最重要的主题。信息管理以及法律和社会面临的挑战包括： 人工智能驱动的预测性警务；用于法律和对抗性决策的大数据；在分析和预测犯罪行为时使用大数据和分析的偏见；预测犯罪风险和犯罪率；以及监管人工智能系统。