Key concepts: AI in insurance
Know these before you put a bot to work in insurance. They are why the techniques and prompts are built the way they are.
NAIC AI Model Bulletin
The NAIC adopted a model bulletin on insurers' use of AI systems, adopted by many states.
Unfair discrimination
AI models must not unfairly discriminate.
Unfair claims practices
State laws require prompt, fair handling.
Consumer data
Policyholder data is protected (e.g., GLBA, state laws).
How chatbots fail
Language models predict likely text. They can produce fluent, confident answers that are wrong, out of date, or that cite sources that do not exist. They also repeat errors in what you paste in. Ask for sources, ask the bot to mark uncertainty, and check everything that matters.
Accuracy and ethics, every time
- Confidentiality: never paste client, patient, student, employee or customer personal data (PII/PHI) into a public bot. Use tools your organization has approved, with contract terms that cover data use, or remove identifiers first.
- Verify everything: bots can invent citations, case law, statistics, doses, code sections and quotes that look real. Check each one against the original source before you rely on it.
- Not professional advice: these tutorials teach you how to use AI tools. They are not legal, medical, tax, financial or engineering advice.
- A human professional is responsible: the licensed or accountable person reviews, decides and signs. The bot drafts; you own the result.
- Prices change: we don't list product prices. Check each vendor's official pricing page.
Official sources for this section
- NAIC: Artificial Intelligence: AI topic page and model bulletin
- NIST AI RMF: AI risk
Links checked Oct 30, 2026. Rules differ by state and country; follow your licensing body and employer policy.
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