Research theme
AI/ML for Bank Supervision
Application of artificial intelligence and machine learning techniques to enhance banking supervision and regulatory oversight.
Key research areas
- Predictive models for identifying risks in supervised entities
- Anomaly detection in financial reporting data
- Automated risk scoring and early warning systems
- Machine learning for stress testing and scenario analysis
- AI-driven assessment of bank business models
Submit on this theme
Extended abstracts on AI/ML for Bank Supervision are welcome until 1 October 2026. Two to four pages excluding references, PDF, by email to joerg.osterrieder@utwente.nl.