State regulators should better define third-party data for AI, insurtech group says

Clarification on Third-Party Data for AI

Scott Harrison, a co-founder of the Artificial Intelligence and Technology Council (AITC), recently addressed a working group from the National Association of Insurance Commissioners (NAIC). His focus was on the need for clearer definitions regarding third-party data in the context of artificial intelligence (AI) usage within the insurance industry.

Why Definitions Matter

Harrison emphasized that vague or imprecise definitions could lead to confusion in compliance efforts among insurers. He argued that overly broad terms might create hurdles that complicate the regulatory landscape. A shared understanding of these terms is crucial for effective implementation and regulation of AI technologies in insurance.

Who Is Affected?

The implications of Harrison's recommendations extend to state regulators, insurance companies, and insurtech startups. Clear definitions would help ensure that compliance initiatives are straightforward and that companies can better align their data practices with regulatory expectations.

Next Steps for Regulators

The NAIC is in a position to take Harrison's advice into consideration as they refine their approaches to data regulation. By prioritizing clarity, they can support both innovation in the insurance sector and adherence to established guidelines.

Final Thoughts

As the insurance industry continues to integrate AI technologies, the need for precise definitions of third-party data remains critical. Harrison's insights could guide regulators in creating a more cohesive framework, ultimately benefiting compliance and innovation alike.

Original Source: https://www.dig-in.com/news/naic-should-better-define-third-party-ai-data-aitc-says