Summary
Colorado’s first-in-the-nation insurance antidiscrimination law that restricts insurers’ use of external consumer data and information sources, algorithms, and predictive models, prohibiting unfair discrimination based on protected characteristics and requiring the Insurance Commissioner to adopt rules for specific lines of insurance that mandate testing, documentation, and governance of these models.
Healthcare Implications
Applies to health insurers’ use of external consumer data and algorithmic or AI-driven models for underwriting, pricing, marketing, and claims, pushing plans to implement governance and quantitative testing to show their models do not unfairly discriminate against protected groups; this can shape how AI-enabled risk scores, fraud analytics, and benefit design tools are built, validated, and monitored in Colorado’s health insurance market, with downstream implications for access, affordability, and equity in coverage.
Operational Implications
- Insurers may not use ECDIS, algorithms, or predictive models in a way that results in unfair discrimination against protected classes; must establish risk management framework to detect unfair discrimination.
- Fairness/non-discrimination standard applied to algorithmic insurance practices including utilization management and claims management.
- Commissioner examination/investigation authority over insurer algorithm use; may restrict or prohibit use.
- Risk management framework required; compliance reporting and quantitative testing.
- Commissioner directed to promulgate sector-specific regulations (life insurance rules adopted Nov 2023; health benefit plan rules adopted Oct 2025). Predates most AI-in-healthcare bills (enacted July 2021).