Artificial Intelligence (AI) is transforming the fight against financial crime, but how can it be deployed responsibly? In answer to that question, this book provides a comprehensive roadmap that integrates legal clarity, ethical guidance, and operational strategies on AI governance. Leveraging the EU's AI Act, national legal instruments and comparative insights, the book examines the challenges of AI governance and offers practical tools for bias mitigation, explainability, accountability, and risk management. The book's use of real-world case studies and contributions from academics and practitioners – including experts with law enforcement experience – enables scholars, students, and professionals in disciplines such as law, criminology, finance, and policing to bridge theory and practice. This makes it an indispensable resource for research, teaching, and professional training. Whether you are shaping policy, implementing compliance frameworks, or exploring AI's role in fighting financial crime, this book provides the roadmap you need to balance innovation and responsibility. This title is also available as open access on Cambridge Core.
