Core Questions
- How can AI extract risk evidence from literature, reports, and real-time data?
- How can models remain interpretable and auditable under deep uncertainty?
- How can language models work with traditional risk models, databases, and expert knowledge?
Methods & Capabilities
- Knowledge graphs and information extraction
- Machine-learning risk prediction
- Language-model-assisted scenario generation and reporting
Expected Outputs
- Risk knowledge base
- AI-assisted assessment workflows
- Explainable risk report generator