"Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry’s vast stores of sensitive data on policyholders and centrality in societal progress and innovation."
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Voir toutEffective risk management requires understanding aggregate risks, individual business unit riskiness, and systemic risks. Realistic...
The paper explains Artificial Intelligence (AI), focusing on Generative AI, its role in finance, and its differences from Machine...
Insurers face complex risk dependencies in loss reserving. Additive background risk models (ABRMs) offer interpretable structures but can...
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