Financial and technological crimes such as fraud, corruption, and money laundering have become increasingly sophisticated in the digital era, posing serious threats to economic stability, public trust, and global security. These illicit practices exploit emerging technologies, regulatory loopholes, and transnational networks, making them harder to detect and combat. As digital systems evolve, so do the methods of abuse, from cryptocurrency-enabled laundering to AI-driven scams and cyber-enabled corporate fraud. A widespread lack of awareness and preparedness among individuals, organizations, and institutions exacerbates the problem, underscoring the need for informed, cross-sectoral responses. Addressing these challenges is essential to promoting transparency, accountability, and resilience in both public and private sectors worldwide.
Financial Corruption and Money Laundering in the AI Era provides understanding and lessons learned regarding all aspects of financial and technological crimes, frauds, and corruption in individual, organizational, and societal contexts. It discusses the emergence and practices of financial crimes, frauds, and corruption in the context of current technological advancement. Covering topics such as big data, forensic accounting, and whistleblowing, this book is an excellent resource for practitioners, researchers, academicians, policymakers, and more.