As we continue to navigate through rapidly changing legal landscapes, keeping abreast of regulatory advances is crucial for every legal professional working in the corporate space. A case in point is Colorado’s recent proposal regarding life algorithms and predictive models in the insurance sphere.
On November 20, 2023, the Division of Insurance of the Colorado Department of Regulatory Agencies (DORA), published for a nine-day public comment period two proposed bulletins. The purpose of these bulletins is to provide clarifying guidance on the effective implementation of Colorado Insurance Regulation 10-1-1. This specific regulation governs the risk management framework requirements for life insurer’s use of external consumer data and information sources, algorithms, and predictive models.
The Regulation 10-1-1 was adopted in September 2023 pursuant to SB21-169. SB21-169 is a significant component of Colorado’s data legislation provisions. The proposed bulletins aim to provide clearer guidelines for insurers and legal practitioners to understand and adhere to the nuances of these risk management frameworks.
The proactive move by DORA in issuing these proposed bulletins, emphasizing the importance of transparency and the correct interpretation of the regulations, marks the state’s commitment to refine its regulatory environment. As predictive models and AI technologies become more integral to the decision-making process within the insurance industry, these steps indicate the direction for other states and countries in their legislative pursuits.
For more details about the proposed guidance bulletins, you can access the original article by following this link.
This development once again underlines the fact that we operate in a dynamic legal environment which will continue to be shaped by our relationship with technology. As such, legal practitioners and entities must strive to stay informed and prepare to interpret and apply these new rules to their respective practices. It’s worth noting that the conversation surrounding the ethical use of AI and decision-making technologies in the insurance sector and beyond is increasingly pressing.