How to Test ECDIS and AIS for Unfair Discrimination Under NY DFS Circular Letter No. 7
How to run and document the NY DFS Circular Letter No. 7 unfair-discrimination tests: which test, who owns it, what to keep.
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How to run and document the NY DFS Circular Letter No. 7 unfair-discrimination tests: which test, who owns it, what to keep.
Read the full dispatch →Insurance is regulated state by state, and almost nothing about AI there is written in an AI law. Start with how the machine works.
Start from the beginning →NAIC guidance, state laws, and federal moves, plus how to build a program that meets them.
All governance coverage →How AI is used across claims, underwriting, and pricing, plus what regulators expect.
All business-line coverage →Will AI replace insurance agents? What current employment projections can show, which tasks are changing, and where agency AI use creates compliance exposure.
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Trump's AI executive order tells agencies to challenge state AI laws. Why McCarran-Ferguson still shields state insurance rules, and how far the federal push has got.
What the NAIC AI Model Bulletin is, how adoption works, what belongs in a written AIS Program, and which implementation guide to use next.
Which states adopted the NAIC AI model bulletin, which wrote their own rules, and the primary source behind every row.
Which AI vendors sell to insurers, who owns each of them now, and the source behind every line.
Five screening lines that turn an existing AI inventory into a defensible list of the high-risk systems NAIC Exhibit C asks about, and the record behind it.
Insurance AI governance roles as an ownership matrix: which function prepares each piece of NAIC evidence, which one signs it, and who answers for it in an exam.
Insurance AI decision documentation for reconstructing one underwriting or claims outcome, including human review, notice, appeal, and model version.
What conversational AI and chatbots actually do across insurance, from quotes to claims, and the point where a customer-facing bot becomes a compliance question.
The insurance AI exam documentation to have ready for a market conduct exam: an insurer-built readiness file of eight evidence categories, and how to record a gap.
A playbook for insurers on AI model monitoring, validation, drift detection, and retesting records that satisfy NAIC Model Bulletin and Exhibit C expectations.
Plain-language definitions of the NAIC and insurance AI governance terms we use across the site.
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