With the increasing use of AI by various private and public entities, its role in society is increasing. This chapter provides an overview of the various practical, social, and governance challenges associated with the application of AI in the criminal justice domain. It examines how AI is being leveraged by both criminal enterprises and law enforcement agencies, which can lead to the emergence of 'digital organised crime'. It is a collection of research highlights from various studies on the application of AI in different domains, including cybercrime, corruption, credit risk assessment, emotional AI in policing, and organised crime. This chapter also discusses the potential biases in crime prediction models and the impact of AI on policing practices, public confidence, and organisational governance.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Implementation Challenges and Societal Impacts

  • Błażej Kaucz

摘要

With the increasing use of AI by various private and public entities, its role in society is increasing. This chapter provides an overview of the various practical, social, and governance challenges associated with the application of AI in the criminal justice domain. It examines how AI is being leveraged by both criminal enterprises and law enforcement agencies, which can lead to the emergence of 'digital organised crime'. It is a collection of research highlights from various studies on the application of AI in different domains, including cybercrime, corruption, credit risk assessment, emotional AI in policing, and organised crime. This chapter also discusses the potential biases in crime prediction models and the impact of AI on policing practices, public confidence, and organisational governance.