How does Klear.ai ensure fairness and avoid bias in its AI risk and claims models?

Klear.ai follows a strict Responsible AI Framework. This includes pre-deployment auditing of training data for sensitive attributes, post-deployment monitoring for model drift and disparate impact, and utilizing Explainable AI (XAI) techniques to ensure decisions are transparent and non-discriminatory.