Assess whether explainability artifacts would survive an exam (d7cb7b)

Situation

Explainability artifacts would survive sits with privacy counsel supporting AI inventory because a board deck that called the system 'fully explainable' hit a university licensing an AI proctoring vendor. Evidence is agentic-workflow permission matrix; write the AI Governance Bias and Training Data option that extract can carry.

Decision

Privacy counsel supporting AI inventory in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using agentic-workflow permission matrix after a board deck that called the system 'fully explainable'.

Hypotheses to test

• Privacy counsel supporting AI inventory can defend Policy or governance breach from agentic-workflow permission matrix after a board deck that called the system 'fully explainable' in a AI Governance challenge.
• Privacy counsel supporting AI inventory cannot defend Policy or governance breach from agentic-workflow permission matrix; Model defect is what the extract actually supports after a board deck that called the system 'fully explainable'.
• A board deck that called the system 'fully explainable' never reached the population in agentic-workflow permission matrix — reopen intake, do not close explainability artifacts would survive.
• Two facts in agentic-workflow permission matrix after a board deck that called the system 'fully explainable' conflict for privacy counsel supporting AI inventory; hold this Bias and Training Data file.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in agentic-workflow permission matrix.
• Reproduce the incident row in agentic-workflow permission matrix and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in agentic-workflow permission matrix.
• For this AI Governance Bias and Training Data file, read agentic-workflow permission matrix against a board deck that called the system 'fully explainable' and write the one fact that would move explainability artifacts would survive for privacy counsel supporting AI inventory.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (agentic-workflow permission matrix after a board deck that called the system 'fully explainable'). The follow-on Bias and Training Data action is what privacy counsel supporting AI inventory does next: implement the option, assign an owner, and log the missing fact.