2024 Webinar - Navigating Insurance Fairness in Rapidly Evolving Regulatory Environments - November 14
Regulations are evolving around the world to address potential bias and discriminatory impacts resulting from AI, machine learning and other predictive models. This session will first compare new and emerging bias-related regulations in the U.S., Canada, China, and Europe that may have a significant impact on the insurance industry. How can insurer's comply in a rapidly evolving regulatory environment? We will explore several useful governance and testing approaches that insurers and actuaries can employ during model-building, implementation, and maintenance, that can support compliance with bias-related regulatory reporting and testing requirements. This session is a preview of two newly released reports in the CAS Research Paper Series on Race and Insurance Pricing.
Learning Objectives:
- Explore emerging regulatory frameworks on bias in AI and predictive models around the world.
- Evaluate the potential impacts of evolving regulations related to bias and fairness on insurance industry practices.
- Develop a set of robust processes and tools to support compliance with bias-related regulatory governance, reporting and testing requirements.
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