AI-Driven Anomaly Detection for Public Expenditure: A Prospective Framework for Strengthening Oversight of Irregularities, Waste, and Potential Fraud through Explainable and Generative AI
Public expenditure systems are essential to state capacity and public trust but remain vulnerable to errors, weak competition, inflated contracts, collusive behavior, and other indicators of waste or potential fraud. Traditional oversight is often retrospective, manual, and limited by fragmented data and rigid rule-bas...