Hallucination Mitigation UX

Hallucination mitigation UX designs interfaces that account for the fact that AI agents will sometimes generate confident-sounding but incorrect information. This includes citation and source linking (so users can verify), confidence indicators (so users know when to double-check), structured output validation (catching errors before they reach users), and graceful correction flows (making it easy to fix mistakes without losing trust in the overall system). The goal isn't eliminating hallucinations — it's making them survivable.