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How to avoid AI customer service hallucinating to provide wrong information?

2025-08-23 267
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background knowledge

AI illusion is when a model provides factually incorrect answers, which is a significant risk to business customer service and can lead to legal liability and loss of brand reputation.

technical security

SiteAssist uses several technologies to ensure answer accuracy:

  • RAG Architecture: retrieve identified content from the knowledge base and then generate answers based on these trusted segments
  • referencing mechanism: Automatically labeling the source of information when answering to enhance credibility
  • Content restrictions: Strictly limit AI answers to be based only on the data source provided

Practice Guidelines

  1. Regularly update and expand knowledge base content to maintain currency
  2. Utilize the "unknown issue" reporting function in the back office to identify and add missing information
  3. Screening of low scoring responses for manual review through satisfaction ratings
  4. Enable safe mode with automatic human referral for high-risk issues

quality control

The system provides a variety of quality control tools:

  • Real-time monitoring of answer accuracy metrics
  • Sensitive word filters can be set up
  • Supports multiple rounds of Q&A to validate user intent
  • Compliance with GDPR and other data security standards

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