AI-Powered Fraud Detection in Mexican Government Supply Chains
Analysis
This ArXiv article highlights the application of machine learning and network science to address corruption, a pressing issue in government procurement. The focus on sanctioned suppliers suggests a proactive approach to risk assessment and prevention.
Key Takeaways
- •Applies machine learning and network science.
- •Focuses on detecting fraud and corruption.
- •Uses sanctioned government suppliers as a training/testing set.
Reference
“The study focuses on detecting fraud and corruption within the context of Mexican government suppliers.”