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Customers interact with an AI support assistant that can make mistakes. Which interface practice best supports human-centered transparency?
Published
- Prevent corrections from being submitted because disagreement makes evaluation harder.
- Describe the assistant as infallible so users will trust every response.
- Show only the model parameter count and omit all feedback mechanisms.
- Explain that responses are AI-assisted, communicate relevant limitations, and provide a practical way to report errors or reach a human.
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