Hallucinations and Errors: What Happens When AI Learning Goes Wrong

AI hallucinations occur when systems generate outputs that are incorrect or entirely fabricated. These errors often stem from gaps in training data or assumptions in model design. You might encounter this phenomenon in tasks where ambiguous or incomplete input data challenges the AI's decision-making process. For example, studies show that some models p…