Hallucinations
What an AI Hallucination Is & why they Occur
An A.I. hallucination occurs when an A.I. agent produces incorrect or fabricated information while processing data in a workflow such as misreading documents, filling in missing values with guesses, or drawing unsupported conclusions, which then get passed along as if they were accurate.
Banking (loan processing)
An A.I. agent reviewing applications might incorrectly infer income levels, credit behavior, or employment history when data is incomplete, leading to biased loan approvals or rejections that can trigger regulatory issues and lawsuits.
Insurance (underwriting)
An A.I. agent analyzing customer profiles and claims history might generate inaccurate risk assessments or assume patterns that don’t exist, resulting in unfair premium pricing and potential legal exposure.
Hospitality (customer satisfaction)
An A.I. agent summarizing guest feedback or processing booking data might misinterpret trends or fabricate issues, causing management to take unnecessary actions or overlook real problems harming service quality and customer trust.
