What is a Overgeneralization AI Hallucination?

A Overgeneralization AI Hallucination occurs when an AI model misapplies a narrow pattern from its training data, causing it to generate an overly broad or simplistic answer that lacks necessary detail, makes unwarranted assumptions, or resorts to stereotypes. Overgeneralizations are one type of AI Hallucination.

• Chance of Occurrence: Common (especially with models trained on diverse but shallow data).
• Consequences: Unhelpful responses, failure to provide actionable insights, potentially leading users to incomplete solutions or flawed understandings due to missing context.
• Mitigation Steps: Provide more specific examples during fine-tuning; use multi-turn dialogues to refine responses; implement mechanisms for AI to ask clarifying questions when it lacks specific detail.