Assess whether explainability artifacts would survive an exam (1b87b9)
August 31, 2026 · SmartSolo
Situation
A board deck that called the system 'fully explainable' put post-deployment drift report the owner never signed in front of HR analytics governance lead in a retailer using generative AI in customer service. This AI Governance / Bias and Training Data close is explainability artifacts would survive from post-deployment drift report the owner never signed, and the live options are Policy or governance breach, Model defect, Dual failure.
Decision
HR analytics governance lead in a retailer using generative AI in customer service must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using post-deployment drift report the owner never signed after a board deck that called the system 'fully explainable'.
Hypotheses to test
- Authorize Policy or governance breach now; post-deployment drift report the owner never signed already has the discriminator after a board deck that called the system 'fully explainable'.
- Keep Model defect in force until post-deployment drift report the owner never signed is completed after a board deck that called the system 'fully explainable' for HR analytics governance lead.
- Treat post-deployment drift report the owner never signed as Dual failure because both readings appear after a board deck that called the system 'fully explainable'.
- Refuse a AI Governance close: HR analytics governance lead does not have the page explainability artifacts would survive turns on in post-deployment drift report the owner never signed.
Analysis required
- Walk the model input/output path recorded in post-deployment drift report the owner never signed and mark each hop approved, shadow, or unlogged.
- Verify data provenance and the human-oversight gate HR analytics governance lead can actually point to.
- Walk the model input/output path recorded in post-deployment drift report the owner never signed and mark each hop approved, shadow, or unlogged.
- For this AI Governance Bias and Training Data file, read post-deployment drift report the owner never signed against a board deck that called the system 'fully explainable' and write the one fact that would move explainability artifacts would survive for HR analytics governance lead.
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