Insurance AI and underwriting governance
AI-02Draft
Validate discrimination risk and performance
How Leela would run itEvent-driven · before deployment and at risk-based monitoring intervals
Proposed stepsThe requirement
Have qualified reviewers evaluate predictive and actuarial support, prohibited discrimination risks, data quality and model limitations. Document methods, results, unresolved issues and release conditions.
- Before this work
- Authorized datasets and a reproducible testing environment Validated methods, reviewer-approved thresholds and independent qualified reviewers
- Applies
- Tell Leela about your company to see whether this applies.
- Status
- Setup needed
Tell Leela how you handle it today, or hand it over: see what’s next.
How Leela would run it · proposed steps
- LeelaPrepare validation datasets and run reviewer-approved statistical and completeness checks in a controlled testing environment.Proposed step
- LeelaAssemble reproducible results, evidence and unresolved findings for independent review.Proposed step
- Model risk reviewerQualified model-risk and actuarial reviewers select methods, interpret discrimination and performance results and approve release conditions.Your team decides
What Leela keepsThe evidence this obligation leaves, as the work happens
Listed from the policy libraryContents
- 01Validation report and issue resolutionControlled record with date, owner, source and review history
Evidence
Validation report and issue resolution
Insurance AI and underwriting governance §3.2
1
of 1 record
The steps are the library’s proposed workflow for this obligation: a description of the work, not a run. The records are its evidence in the library.