2022 Membership

2023 Proposed Charges

1. The Big Data and Artificial Intelligence (H) Working Group will:
   
   1. Research the use of big data and AI including ML in the business of insurance, and evaluate existing regulatory frameworks for overseeing and monitoring their use. Present findings and recommendations to the Innovation, Cybersecurity, and Technology (H) Committee including potential recommendations for development of model governance for the use of big data and AI including ML for the insurance industry.
   2. Review current audit and certification programs and/or frameworks that could be used to oversee insurers’ use of consumer and non-insurance data and models using intelligent algorithms including AI and in alignment with the NAIC AI Principles. If appropriate, issue recommendations and coordinate with the appropriate SME committees on the development of or modifications to model laws, regulations, handbooks, and regulatory guidance regarding data analysis, marketing, rating, underwriting and claims, regulation of data and model vendors, regulatory reporting requirements, and consumer disclosure requirements.
   3. Assess data and regulatory tools needed for state insurance regulators to appropriately monitor the marketplace, and evaluate the use of big data, algorithms, and ML, including AI/ML in underwriting, rating, claims, and marketing practices This assessment shall include a review of currently available data and tools, as well as recommendations for development of additional data and tools, as appropriate. Based on this assessment, propose a means to include these tools in existing and/or new regulatory oversight and monitoring processes to promote consistent oversight and monitoring efforts across state insurance departments.

2022 Adopted Charges

The Big Data and Artificial Intelligence (H) Working Group will:

1. Research the use of big data and artificial intelligence (AI) including machine learning (ML) in the business of insurance and evaluate existing regulatory frameworks for overseeing and monitoring their use. Present findings and recommendations to the Innovation, Cybersecurity, and Technology (H) Committee including potential recommendations for the development of model governance for the use of big data and AI including ML for the insurance industry.
2. Review current audit and certification programs and/or frameworks that could be used to oversee insurers’ use of consumer and non-insurance data, and models using intelligent algorithms, including AI. If appropriate, issue recommendations and coordinate with the appropriate subject matter expert (SME) committees on the development of or modifications to model laws, regulations, handbooks, and regulatory guidance, regarding data analysis, marketing, rating, underwriting and claims, regulation of data vendors and brokers, regulatory reporting requirements, and consumer disclosure requirements.
3. Assess data and regulatory tools needed for state insurance regulators to appropriately monitor the marketplace, and evaluate the use of big data, algorithms, and machine learning, including AI/ML in underwriting, rating, claims and marketing practices. This assessment shall include a review of currently available data and tools, as well as recommendations for development of additional data and tools, as appropriate. Based on this assessment, propose a means to include these tools in existing and/or new regulatory oversight and monitoring processes to promote consistent oversight and monitoring efforts across state insurance departments.