In a survey of 59 participants, the most frequently cited factors contributing to AI hallucinations were insufficient training data (31 mentions), biased training data (31), limitations in model architecture (30), lack of real-world context (26), overconfidence in AI-generated responses (24), and inadequate transparency of AI decision-making (14).

Authors

• Person: Not available Organization: medRxiv
  Medical Hallucination in Foundation Models and Their Impact on ...

Sources

• Medical Hallucination in Foundation Models and Their Impact on ... www.medrxiv.org medRxiv via serper

Referenced by nodes (2)

• hallucination concept
• artificial intelligence concept