Assess whether a shadow system must be decommissioned this quarter (f636d2)

Situation

Bias and Training Data work in a city using a hiring-screen algorithm now turns on a shadow system must because a vendor SOC report that excludes the actual model host region put training-data provenance questionnaire in play. Board AI liaison should say what training-data provenance questionnaire proves.

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 a vendor SOC report that excludes the actual model host region.

Hypotheses to test

• Board AI liaison can defend Policy or governance breach from training-data provenance questionnaire after a vendor SOC report that excludes the actual model host region in a AI Governance challenge.
• Board AI liaison cannot defend Policy or governance breach from training-data provenance questionnaire; Model defect is what the extract actually supports after a vendor SOC report that excludes the actual model host region.
• A vendor SOC report that excludes the actual model host region never reached the population in training-data provenance questionnaire — reopen intake, do not close a shadow system must.
• Two facts in training-data provenance questionnaire after a vendor SOC report that excludes the actual model host region conflict for board AI liaison; hold this Bias and Training Data file.

Analysis required

• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a vendor SOC report that excludes the actual model host region.
• Map the approved-use case to the system a shadow system must would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a vendor SOC report that excludes the actual model host region.
• For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against a vendor SOC report that excludes the actual model host region 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 (training-data provenance questionnaire after a vendor SOC report that excludes the actual model host region). Lead with the AI Governance option training-data provenance questionnaire can support after a vendor SOC report that excludes the actual model host region, then the two facts that force it, then the Monday action for board AI liaison in a city using a hiring-screen algorithm.