Assess whether an agent may take actions without a human gate (8bcabb)

Situation

Training-data provenance questionnaire arrived with an internal audit finding that human review logs are empty for board AI liaison. That is a AI Governance Bias and Training Data decision on an agent may take 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 training-data provenance questionnaire after an internal audit finding that human review logs are empty.

Hypotheses to test

• The population in training-data provenance questionnaire is the one an internal audit finding that human review logs are empty named, so Policy or governance breach follows for this Bias and Training Data file.
• The population in training-data provenance questionnaire is adjacent only to an internal audit finding that human review logs are empty; Model defect is the honest AI Governance call.
• A city using a hiring-screen algorithm already contained an internal audit finding that human review logs are empty before training-data provenance questionnaire arrived; no new Bias and Training Data path.
• Provenance on training-data provenance questionnaire after an internal audit finding that human review logs are empty is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire.
• Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data.
• For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against an internal audit finding that human review logs are empty and write the one fact that would move an agent may take 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 (training-data provenance questionnaire after an internal audit finding that human review logs are empty). Lead with the AI Governance option training-data provenance questionnaire can support after an internal audit finding that human review logs are empty, then the two facts that force it, then the Monday action for board AI liaison in a city using a hiring-screen algorithm.

Command returns

• Bottom-line AI Governance option on an agent may take, then the evidence in training-data provenance questionnaire, then the action for board AI liaison
• Hypothesis scorecard against training-data provenance questionnaire: 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