The insurer may have content labeling: What does the evidence | AIGP
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The insurer may have content labeling: What does the evidence most directly support?

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

Korean guidance distinguishes prior notice for covered AI products or services from labeling generated content; one does not prove the other.

The question

In South Korea, assume MSIT guidance under AI Basic Act Article 31 applies to an insurer’s customer chatbot. Reviewers observe that customers are not told they are interacting with AI, while generated claim explanations are visibly marked. What does the evidence most directly support?

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  1. The insurer may have content labeling, but evidence is missing about prior user notice for the AI service. ✓
    The observations support labeling of generated content while leaving unresolved whether users received the distinct prior notice applicable to the AI service context.
  2. The content marking alone satisfies both transparency expectations.
    Content labeling addresses generated material, but it does not necessarily provide the separate prior notice concerning AI-based interaction or service use.
  3. The insurer should provide prior notice but need not label generated explanations.
    Prior notice may address the service, but generated explanations can independently require labeling when the guidance covers synthetic content.
  4. The observations establish that Korean guidance requires EU-style provider classification.
    The guidance distinguishes notice and labeling but does not import EU provider classifications, conformity rules, or identical obligations into Korea.
The trap
Separate the object of disclosure: the AI-enabled service may require notice, while synthetic output may require its own label.

How to remember it

Korean guidance distinguishes prior notice for covered AI products or services from labeling generated content; one does not prove the other.

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