When an AI model provides citations that do not exist, how is this categorized?

When an AI model provides citations that do not exist, this is categorized as misinformation. Misinformation refers to incorrect or misleading information that is presented as fact. In this context, if an AI generates citations that are not linked to actual sources, it can lead users to believe that they are referencing credible information when in reality, the citations are fabricated or erroneous. This can have significant implications, particularly in fields where accuracy and credibility are paramount, such as research, journalism, and education.

Recognizing this behavior as misinformation emphasizes the importance of verifying sources and the reliability of information provided by AI systems. It highlights the potential risks associated with trusting output from AI models without proper validation, underscoring the need for critical evaluation of all information, especially when it comes to citations and references. In contrast, an error might imply a simple mistake without the broader implications attached to the misrepresentation of information.