The evolution of digital technologies transforms online crime, with the dark web emerging as a complex, concealed environment for illicit activity. As AI reshapes criminal tactics and law enforcement capabilities, policing and investigation in these networks face challenges and opportunities. Advanced AI-driven tools enable more efficient data analysis, pattern recognition, and threat detection, but raise concerns around privacy, ethics, and legal boundaries. Navigating this area requires a balance between technological innovation and investigative frameworks to effectively combat cybercrime in the modern era. Policing and Investigating the Dark Web in the Age of AI explores the challenges and methodologies involved in policing, forensics, and security within the dark web. It examines how the integration of AI technologies can enhance threat detection, evidence collection, and predictive analysis. This book covers topics such as criminal science and forensics, artificial intelligence, and ethics and law, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists.