Fraud Detection XAI Model
This project presents a lightweight explainable AI approach for financial fraud detection.
Overview
This model demonstrates how interpretable scoring logic can support fraud risk classification using structured transaction data.
Features
- Simple fraud risk prediction
- Transparent scoring logic
- Explainability-focused output
- Designed for research and educational use
Input Features
- Transaction amount
- Time of transaction
- Transaction type
- Merchant risk score
- Customer age
- Previous transaction history
Output
- Fraud / Not Fraud classification
- Risk score explanation
Related Work
This model aligns with:
- Trustworthy AI (XAI)
- Predictive Analytics
- Financial Risk Modeling
- Decision Support Systems
Organization
Developed by Lead.AI Labs – Intelligent Automation & Trustworthy AI Systems
Disclaimer
This is a research demonstration model regulatory compliance.
