Conduct use-specific rights and quality review: Which approval | AIGP
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Conduct use-specific rights and quality review: Which approval approach best addresses the new use and both

AIGP Understanding How to Govern AI Deployment and Use Hard

A materially different public use requires use-specific rights and quality review plus disclosure, monitoring, and complaint controls.

The question

A media company approved a generative tool for internal storyboard drafts. A production team proposes using it for public synthetic presenters. Rights to training and likeness inputs are unclear, and audience-facing errors could cause reputational harm. Which approval approach best addresses the new use and both uncertainties?

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  1. Conduct use-specific rights and quality review, then add disclosure, monitoring, and complaint controls.
    This reassesses the changed application, addresses rights and quality uncertainty, and establishes controls for public-facing impact.
  2. Obtain a vendor warranty, document the intended audience, and publish after internal approval and a launch checklist.
    A warranty and checklist do not establish rights or suitability for public synthetic presenters, and the changed use requires fresh application-specific review.
  3. Benchmark the model and require a general public-content quality review before publication.
    Model benchmarking and general review may assess capabilities, but they do not resolve training or likeness rights and may miss application-specific risks.
  4. Reuse the internal-use approval.
    The public audience, new purpose, rights questions, and reputational impact make the original internal approval insufficient.
The trap
A new purpose or audience can change the risk profile; reassess the actual application rather than extending the original approval.

How to remember it

A materially different public use requires use-specific rights and quality review plus disclosure, monitoring, and complaint controls.

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