ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing
Reinsurance treaty pricing must satisfy stringent regulatory standards, yet current quoting practices remain opaque and difficult to audit. We introduce ClauseLens, a clause-grounded reinforcement learning framework that produces transparent, regulation-compliant, and risk-aware treaty quotes.
Authors
- Jarod C. Finlay (ORCID: https://orcid.org/0009-0008-8838-522X)
- Stella C. Dong (ORCID: https://orcid.org/0009-0006-7866-225X)
Institutions
- University of Pennsylvania (US)
- University of California, Davis (US)
- Philadelphia University (US)
Publication Details
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1145/3768292.3770356
- Citations
- 1
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 2.48