Board AI liaison must resolve whether explainability artifacts would survive

Situation

In a city using a hiring-screen algorithm, vendor model card with missing evaluation slices is the evidence after a DPA inquiry about training on European user data. Board AI liaison has to pick Policy or governance breach or Model defect for this AI Governance Bias and Training Data close using vendor model card with missing evaluation slices.

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 vendor model card with missing evaluation slices after a DPA inquiry about training on European user data.

Hypotheses to test

• Board AI liaison can defend Policy or governance breach from vendor model card with missing evaluation slices after a DPA inquiry about training on European user data in a AI Governance challenge.
• Board AI liaison cannot defend Policy or governance breach from vendor model card with missing evaluation slices; Model defect is what the extract actually supports after a DPA inquiry about training on European user data.
• A DPA inquiry about training on European user data never reached the population in vendor model card with missing evaluation slices — reopen intake, do not close explainability artifacts would survive.
• Two facts in vendor model card with missing evaluation slices after a DPA inquiry about training on European user data conflict for board AI liaison; hold this Bias and Training Data file.

Analysis required

• Walk the model input/output path recorded in vendor model card with missing evaluation slices and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate board AI liaison can actually point to.
• Walk the model input/output path recorded in vendor model card with missing evaluation slices and mark each hop approved, shadow, or unlogged.
• For this AI Governance Bias and Training Data file, read vendor model card with missing evaluation slices against a DPA inquiry about training on European user data 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 (vendor model card with missing evaluation slices after a DPA inquiry about training on European user data). 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 vendor model card with missing evaluation slices, then the action for board AI liaison
• Hypothesis scorecard against vendor model card with missing evaluation slices: supported / rejected / untestable
• Regulatory or exam hook Bias and Training Data would cite
• Bias and Training Data finding in vendor model card with missing evaluation slices that a second reviewer can re-perform