Document internal ownership across the model lifecycle | AIGP
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Document internal ownership across the model lifecycle: Which evidence most directly resolves the gap?

AIGP Understanding How to Govern AI Deployment and Use Medium

Internal lifecycle ownership assigns responsibility that a supplier would otherwise provide for development, monitoring, response, and retirement.

The question

A hospital administration team will build an internal AI to route nonclinical medical-administration messages. Intended use, users, data access, owners, monitoring, and escalation controls are documented, but approval is blocked because no supplier will define lifecycle accountability. Which evidence most directly resolves the gap?

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  1. Request an external vendor assurance report for similar systems.
    External assurance may provide context, but it cannot establish who within the hospital owns this internally developed model.
  2. Compare the model with a commercially available administrative tool.
    Comparison may inform capability or resource choices, but it does not assign accountability for the internal model’s lifecycle.
  3. Add more model testing while leaving organizational ownership undecided.
    Testing can identify performance issues, but unresolved ownership still weakens risk treatment, monitoring, response, and retirement decisions.
  4. Document internal ownership across the model lifecycle.
    Documented internal ownership assigns responsibility for development, monitoring, response, updates, and decommissioning of the in-house system.
The trap
If no supplier owns lifecycle duties, identify and document internal owners rather than relying only on more testing.

How to remember it

Internal lifecycle ownership assigns responsibility that a supplier would otherwise provide for development, monitoring, response, and retirement.

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