Colorado’s insurance commissioner urged the National Association of Insurance Commissioners to move toward an artificial intelligence model law during the NAIC’s summer 2026 meeting, according to S&P Global. The call highlights continued regulatory attention on how insurers develop, buy and use AI systems.
NAIC summer 2026: Colorado commissioner urges action toward an AI model law
At the NAIC summer 2026 meeting, Colorado’s insurance commissioner urged regulators to move forward on an artificial intelligence model law. The call highlights ongoing policy discussions about establishing a standardized framework for…
S&P Global
Publisher
Aug 24, 2026 at 9:04 PM UTC · Updated 7 小时前 · 1 分钟阅读
The NAIC is a U.S. standard-setting organization whose members are state and territorial insurance regulators. Its model laws and model regulations can provide a common policy framework for states, though each jurisdiction decides whether and how to adopt them.
An AI-focused insurance model law could address governance, oversight and accountability questions associated with automated systems. AI is increasingly relevant to insurance operations, including underwriting, claims handling, pricing and customer interactions, making regulatory standards a significant issue for insurers and consumers.
Colorado has been among the states active in considering rules around algorithmic decision-making. The commissioner’s appeal at the NAIC signals support for coordinated action rather than relying solely on separate state-by-state approaches.
快速问答
What happened at the NAIC summer 2026 meeting?
Colorado’s insurance commissioner urged action toward an AI model law during the NAIC summer 2026 meeting.
Who called for an AI model law?
Colorado’s insurance commissioner called on regulators to move forward toward an AI model law.
What is the focus of the proposed model law?
Based on the excerpt, the effort concerns creating a model-law approach related to artificial intelligence in insurance regulation.
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Originally reported by S&P Global
NewsLayer coverage based on externally reported material.
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