Assess whether the vendor can be used in a regulated process (c37b9c)

SITUATION A near-miss where an agent emailed a customer unreviewed put explainability pack for a denied-credit decision in front of board AI liaison in a city using a hiring-screen algorithm. This AI Governance / Bias and Training Data decision is the vendor can be from explainability pack for a denied-credit decision, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Board AI liaison in a city using a hiring-screen algorithm must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using explainability pack for a denied-credit decision after a near-miss where an agent emailed a customer unreviewed.

HYPOTHESES TO TEST 1. The population in explainability pack for a denied-credit decision is the one a near-miss where an agent emailed a customer unreviewed named, so Policy or governance breach follows for this Bias and Training Data file. 2. The population in explainability pack for a denied-credit decision is adjacent only to a near-miss where an agent emailed a customer unreviewed; Model defect is the honest AI Governance call. 3. A city using a hiring-screen algorithm already contained a near-miss where an agent emailed a customer unreviewed before explainability pack for a denied-credit decision arrived; no new Bias and Training Data path. 4. Provenance on explainability pack for a denied-credit decision after a near-miss where an agent emailed a customer unreviewed is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Reproduce the incident row in explainability pack for a denied-credit decision and say whether it ever touched production data. 2. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in explainability pack for a denied-credit decision. 3. Reproduce the incident row in explainability pack for a denied-credit decision and say whether it ever touched production data. 4. For this AI Governance Bias and Training Data file, read explainability pack for a denied-credit decision against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move the vendor can be for board AI liaison.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (explainability pack for a denied-credit decision after a near-miss where an agent emailed a customer unreviewed). Lead with the AI Governance option explainability pack for a denied-credit decision can support after a near-miss where an agent emailed a customer unreviewed, then the two facts that force it, then the Monday action for board AI liaison in a city using a hiring-screen algorithm.