NAIC AI bulletin and the FACTS framework

Three ways to see it

1. 1

   FACTS spells out what the regulator expects. Fair: AI must not produce unfairly discriminatory outcomes against protected classes. Accurate: AI must produce outputs that are valid for their intended purpose. Compliant: AI use must respect existing insurance law including unfair trade practices, consumer protection, and rate regulation. Transparent: regulators and (in appropriate detail) consumers must be able to understand what was decided and why. Secure: AI systems must be protected from data breach and adversarial attack. Each letter has operational tests behind it.

2. 2

   Way one to use FACTS in a Pakistani insurer: as a documentation index. For each AI use case, the company must maintain documentation under each of the five letters. Fair: bias tests across protected classes. Accurate: validation metrics and refresh cadence. Compliant: a memo identifying each piece of insurance law touched. Transparent: a customer-facing explanation template and a regulator-facing technical brief. Secure: information security review and incident history. SECP, when it eventually adopts something similar, will start by asking for exactly this filing.

3. 3

   Way two: as a board reporting template. A board insurance committee that sees a single page per material AI use case organised by FACTS gets more useful oversight than one that reads 30-page technical reports. The discipline of one column per letter, one paragraph per use case, forces summarisation. The board can act; long reports they cannot.

The why-tree

Try this with Claude

AI-edge prompt to try: 'Acting as a NAIC AI bulletin examiner, ask me 12 questions about my Pakistani insurer's AI use case, covering Fair, Accurate, Compliant, Transparent, Secure. After my answers, summarise the three biggest exposures and one concrete remedy each.' Use as a desk-audit drill.