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The proposed legislation aims to prevent unfair discrimination in insurance rate determinations by prohibiting the use of external consumer data and algorithms. Insurers will need to review their data practices to align with the new standards, particularly regarding protected characteristics such as race and gender identity.
Key Provisions
Prohibits the use of external consumer data in insurance rate determinations.
Prevents unfair discrimination based on protected characteristics.
Applies to algorithms and predictive models used by insurers.
Latest Legislative Action
REFERRED TO CORPORATIONS, AUTHORITIES AND COMMISSIONS
Bill Sponsors
Name
Role
Erik Dilan
Primary
Compliance Checklist
Review and adjust data practices to eliminate discriminatory algorithms. Who: Insurers operating in New York Penalty: Potential penalties for non-compliance.
The bill prohibits insurers from using external consumer data and information sources when determining insurance rates, specifically to prevent unfair discrimination based on race, color, national or ethnic origin, religion, sex, sexual orientation, disability, gender identity, or gender expression. Insurers must ensure that any algorithms or predictive models they employ do not lead to discriminatory outcomes based on these protected characteristics. While the bill applies to insurers, it does not explicitly state that all insurers in New York must comply. The bill aligns with ongoing trends in other states to regulate the use of AI and data in insurance and other sectors, reflecting a growing emphasis on algorithmic accountability.
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