Assess whether a shadow system must be decommissioned this quarter (093503)

Situation

Incomplete model inventory versus actual deployments arrived with a business unit that already went live without a risk tier for board AI liaison. That is a AI Governance Bias and Training Data decision on a shadow system must in a city using a hiring-screen algorithm.

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 incomplete model inventory versus actual deployments after a business unit that already went live without a risk tier.

Hypotheses to test

• A business unit that already went live without a risk tier is noise around an already-controlled Bias and Training Data process in a city using a hiring-screen algorithm, given incomplete model inventory versus actual deployments.
• A business unit that already went live without a risk tier is the event in incomplete model inventory versus actual deployments that forces Policy or governance breach for board AI liaison under AI Governance.
• Incomplete model inventory versus actual deployments shows a one-file miss after a business unit that already went live without a risk tier, not a Bias and Training Data program failure.
• Incomplete model inventory versus actual deployments cannot decide a shadow system must yet after a business unit that already went live without a risk tier; hold is the only AI Governance close a city using a hiring-screen algorithm can defend.

Analysis required

• Reproduce the incident row in incomplete model inventory versus actual deployments and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incomplete model inventory versus actual deployments.
• Reproduce the incident row in incomplete model inventory versus actual deployments and say whether it ever touched production data.
• For this AI Governance Bias and Training Data file, read incomplete model inventory versus actual deployments against a business unit that already went live without a risk tier and write the one fact that would move a shadow system must 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 (incomplete model inventory versus actual deployments after a business unit that already went live without a risk tier). 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 a shadow system must, then the evidence in incomplete model inventory versus actual deployments, then the action for board AI liaison
• Hypothesis scorecard against incomplete model inventory versus actual deployments: supported / rejected / untestable
• Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others
• Owner and next date for board AI liaison in a city using a hiring-screen algorithm