This chapter explores the use of artificial intelligence (AI) in various crime-related applications to prevent and predict criminal activities. It highlights the use of intelligent video surveillance systems for real-time monitoring and detection of crimes, as well as machine learning techniques for detecting environmental crimes. The chapter also discusses the use of predictive analytics to forecast potential criminal occurrences, including juvenile crime, and the importance of human-machine collaboration to ensure transparency and fairness in algorithmic decision-making. Additionally, it examines the use of AI-based anti-corruption tools and the challenges of achieving fairness in AI systems. Finally, this chapter explores the application of AI in various other areas, such as facial recognition, cybersecurity, and dark web forensics.

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Fighting Crime with Artificial Intelligence

  • Błażej Kaucz

摘要

This chapter explores the use of artificial intelligence (AI) in various crime-related applications to prevent and predict criminal activities. It highlights the use of intelligent video surveillance systems for real-time monitoring and detection of crimes, as well as machine learning techniques for detecting environmental crimes. The chapter also discusses the use of predictive analytics to forecast potential criminal occurrences, including juvenile crime, and the importance of human-machine collaboration to ensure transparency and fairness in algorithmic decision-making. Additionally, it examines the use of AI-based anti-corruption tools and the challenges of achieving fairness in AI systems. Finally, this chapter explores the application of AI in various other areas, such as facial recognition, cybersecurity, and dark web forensics.