Assess whether explainability artifacts would survive an exam (7c97b6)

Situation

After a journalist asking if the hiring tool is biased, post-deployment drift report the owner never signed is what board AI liaison can touch in a city using a hiring-screen algorithm. AI Governance will live with Policy or governance breach versus Model defect on this Bias and Training Data file.

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 post-deployment drift report the owner never signed after a journalist asking if the hiring tool is biased.

Hypotheses to test

• Authorize Policy or governance breach now; post-deployment drift report the owner never signed already has the discriminator after a journalist asking if the hiring tool is biased.
• Keep Model defect in force until post-deployment drift report the owner never signed is completed after a journalist asking if the hiring tool is biased for board AI liaison.
• Treat post-deployment drift report the owner never signed as Dual failure because both readings appear after a journalist asking if the hiring tool is biased.
• Refuse a AI Governance close: board AI liaison does not have the page explainability artifacts would survive turns on in post-deployment drift report the owner never signed.

Analysis required

• Map the approved-use case to the system explainability artifacts would survive would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a journalist asking if the hiring tool is biased.
• Map the approved-use case to the system explainability artifacts would survive would bind.
• For this AI Governance Bias and Training Data file, read post-deployment drift report the owner never signed against a journalist asking if the hiring tool is biased and write the one fact that would move explainability artifacts would survive 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 (post-deployment drift report the owner never signed after a journalist asking if the hiring tool is biased). The follow-on Bias and Training Data action is what board AI liaison does next: implement the option, assign an owner, and log the missing fact.

Command returns

• Bottom-line AI Governance option on explainability artifacts would survive, then the evidence in post-deployment drift report the owner never signed, then the action for board AI liaison
• Hypothesis scorecard against post-deployment drift report the owner never signed: supported / rejected / untestable
• Missing page in post-deployment drift report the owner never signed after a journalist asking if the hiring tool is biased, if any
• Regulatory or exam hook Bias and Training Data would cite