AI Definitions: Hallucinations

Hallucinations – When an AI provides responses that are inaccurate or not based on facts. Generative AI models are designed to generate data that is realistic or distributionally equivalent to the training data and yet different from the actual data used for training. This is why they are better at brainstorming than reflecting the real world and why they should not be treated as sources of truth or factual knowledge. Generative AI models can answer some questions correctly, but this is not what they are designed and trained to do. However, hallucinating AIs can be very useful to researchers, providing innovative insights that speed up the scientific process.

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