Assess whether deprecation of a legacy scorecard creates a governance gap

Situation

Hiring-tool adverse-impact tables arrived with a board deck that called the system 'fully explainable' for exam-readiness coordinator. That is a AI Governance Policy and Oversight decision on deprecation of a legacy in a hospital deploying a sepsis-risk model.

Decision

Exam-readiness coordinator in a hospital deploying a sepsis-risk model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using hiring-tool adverse-impact tables after a board deck that called the system 'fully explainable'.

Hypotheses to test

• Authorize Policy or governance breach now; hiring-tool adverse-impact tables already has the discriminator after a board deck that called the system 'fully explainable'.
• Keep Model defect in force until hiring-tool adverse-impact tables is completed after a board deck that called the system 'fully explainable' for exam-readiness coordinator.
• Treat hiring-tool adverse-impact tables as Dual failure because both readings appear after a board deck that called the system 'fully explainable'.
• Refuse a AI Governance close: exam-readiness coordinator does not have the page deprecation of a legacy turns on in hiring-tool adverse-impact tables.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in hiring-tool adverse-impact tables.
• Reproduce the incident row in hiring-tool adverse-impact tables and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in hiring-tool adverse-impact tables.
• For this AI Governance Policy and Oversight file, read hiring-tool adverse-impact tables against a board deck that called the system 'fully explainable' and write the one fact that would move deprecation of a legacy for exam-readiness coordinator.

Recommendation

Treat this reading of hiring-tool adverse-impact tables as the gate for deprecation of a legacy: Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in hiring-tool . If hiring-tool adverse-impact tables after a board deck that called the system 'fully explainable' confirms that reading, exam-readiness coordinator takes Policy or governance breach in a hospital deploying a sepsis-risk model. If hiring-tool adverse-impact tables contradicts it, take Model defect.

Command returns

• Bottom-line AI Governance option on deprecation of a legacy, then the evidence in hiring-tool adverse-impact tables, then the action for exam-readiness coordinator
• Hypothesis scorecard against hiring-tool adverse-impact tables: supported / rejected / untestable
• Owner and next date for exam-readiness coordinator in a hospital deploying a sepsis-risk model
• What changes deprecation of a legacy if a board deck that called the system 'fully explainable' is later withdrawn