Abstract
This paper aims to explore regulatory perspectives on algorithmic bias, including U.S. state regulator concerns with current insurance pricing practices, perceptions of fairness testing approaches and plans for future activities.
Series
II
Year
2024
Keywords
bias, Model Governance, Algorithmic Bias
Description
This paper aims to explore regulatory perspectives on algorithmic bias, including U.S. state regulator concerns with current insurance pricing practices, perceptions of fairness testing approaches and plans for future activities.
Categories
Homeowners
Personal
Rate Regulation
Ratemaking
Ratemaking Considerations
Publications
Research Paper Series on Race and Insurance Pricing
Formerly on syllabus
Off
