Mapping the Intellectual Landscape of AI-powered Financial Fraud Detection: Insights from Bibliometric and Thematic Analysis
This study offers an evidence-based account of how AI in fraud detection has evolved and proposes a future research agenda emphasizing transparency, ethical assurance and global governance alignment, advancing financial risk management through conceptual clarity, methodological guidance and actionable pathways for resp...