Label message authors in mixed AI conversations

When to use this guide

A conversation history uses the same support label for generated messages and human responses, including after export.

This is a fictional implementation scenario. The procedure below is Article 50 Hub's suggested working method, not a prescribed legal form, a customer result or a claim that every step is an additional statutory requirement.

Review procedure

1. Define the actual author types represented in the conversation model.

2. Compare visible labels, accessible names and exported transcript labels.

3. Test a conversation containing AI replies, human replies and system events.

4. Correct ambiguous attribution and retain a sample showing each author type.

What the example review finds

• AI and human messages share the same author name.

• The exported transcript removes the distinction entirely.

Keep these example observations separate from your own results. An unknown or untested state should stay open until the relevant evidence has been inspected.

Fields for your working record

• Author type

• Visible label

• Accessible label

• Export label

• Sample reference

Use the downloadable blank worksheet linked on this page to connect the observed behavior with the deployed system. Add a reviewer, date, evidence reference, unresolved questions and a next action. The worksheet is editable locally and does not upload your records to Article 50 Hub.

Completion and handoff

Close the task only for the scope actually reviewed. Preserve the result that another authorized reviewer can reproduce, identify the owner of remaining work, and record a retest when the implementation changes. A completed worksheet is not a substitute for the underlying evidence.

Decision boundary

Accurate message attribution does not establish truthfulness or responsibility for every statement in a conversation.

The official references below provide legal or technical context. Resolve applicability and exception questions with the responsible qualified reviewer; use the product's tools to organize implementation work within that assessment.