What is AI hallucination and how can contact centers prevent it?

AI hallucination refers to instances where a generative AI model produces confident-sounding but factually incorrect or fabricated information, a particular risk in customer service contexts where inaccurate responses can mislead customers or create compliance issues. Contact centers prevent hallucination by grounding AI responses in verified knowledge base content through retrieval-augmented generation, where the AI draws answers from approved source documents rather than generating responses purely from its general training. Confidence thresholds that flag low-certainty responses for human review before they reach the customer add another layer of protection. Regular auditing of AI-generated responses against actual outcomes helps identify patterns of inaccuracy that require model or content adjustment. Limiting AI agent scope to well-defined, verified transaction types - rather than open-ended question answering - further reduces hallucination risk in high-stakes interactions. NiCE CXone's AI is trained and grounded on validated contact center data to minimize this risk.