Artificial intelligence is rapidly becoming integrated into decisionmaking in critical sectors such as healthcare, infrastructure, autonomous vehicles, and energy. While this technology offers remarkable benefits, it comes with a significant risk: AI systems often produce outputs with high confidence even when their predictions are based on flawed, incomplete, or misleading data. These high-confidence errors, often referred to as hallucinations, can be harmless in casual applications but dangero