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.

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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
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article

ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing

Jarod C. Finlay, Stella C. Dong
1 citations
Explainable Artificial Intelligence (XAI)
2.48
article

ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing

Jarod C. Finlay, Stella C. Dong
article en
1 citations

Abstract

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.

University of Pennsylvania (US), University of California, Davis (US), Philadelphia University (US)
Openalex Percentile: Top 8%
Explainable Artificial Intelligence (XAI)
2.48
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