Disclose the summaries’ AI-generated nature to clients | AIGP
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Disclose the summaries’ AI-generated nature to clients: Which approach addresses the specific client-facing

AIGP Understanding How Laws, Standards and Frameworks Apply to AI Hard

Client-facing disclosure addresses synthetic-content transparency; internal records and technical documentation remain separate high-risk controls.

The question

A financial institution in the European Union deploys an AI system whose high-risk obligations apply. It generates client-facing summaries from financial documents, and assume the EU AI Act’s synthetic-content transparency duty applies. Which approach addresses the specific client-facing constraint without confusing it with internal evidence duties?

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  1. Retain the generated summaries internally for audit purposes.
    Internal retention supports record-keeping, but does not communicate synthetic-content information to clients receiving the summaries.
  2. Disclose the summaries’ AI-generated nature to clients during delivery.
    This directly addresses the assumed synthetic-content transparency duty while leaving separate high-risk documentation and monitoring duties intact.
  3. Publish the model’s full training documentation alongside every client summary.
    Technical documentation may support high-risk governance, but publishing complete training materials is not the stated client-transparency requirement.
  4. Add a general disclaimer to the vendor contract.
    A contract disclaimer may allocate responsibilities, but it does not itself provide the required client-facing disclosure.
The trap
Match the control to its audience: users need notices, while deployers and authorities need evidence.

How to remember it

Client-facing disclosure addresses synthetic-content transparency; internal records and technical documentation remain separate high-risk controls.

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