The Evolving Landscape of White-Collar Crime: AI, Technological Advancements, and Transnational Legal Challenges

This book examines the evolving landscape of white-collar crime in the digital age, where artificial intelligence, financial technologies, and transnational legal complexities are reshaping corporate misconduct. It explores how AI-driven tools, while enhancing fraud detection and regulatory compliance, simultaneously enable sophisticated financial crimes, creating new challenges for enforcement and policy development. Drawing on contemporary case studies and comparative legal analysis, the book critically assesses emerging threats such as algorithmic manipulation, cryptocurrency fraud, and regulatory arbitrage. It highlights jurisdictional conflicts, corporate liability frameworks, and the shifting dynamics of global enforcement strategies. Key topics include the role of whistleblowers in exposing financial misconduct, the intersection of corporate crime and environmental fraud, and the impact of lobbying on financial regulations. By integrating perspectives from legal scholars, policymakers, forensic experts, and law enforcement professionals, this work offers a comprehensive examination of modern economic crime. It provides policy recommendations aimed at strengthening legal safeguards, enhancing regulatory cooperation, and addressing the challenges posed by rapidly advancing technology. Essential reading for academics, legal practitioners, compliance officers, and financial crime investigators, this book equips readers with the analytical tools needed to navigate the complexities of contemporary white-collar crime.