Hallucination
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A bias that occurs when the sample chosen for a study or survey is not representative of the population being studied, affecting the validity of the results.
A logical fallacy that occurs when one assumes that what is true for a part is also true for the whole.
A type of bias that occurs when the observer's expectations or beliefs influence their interpretation of what they are observing, including experimental outcomes.
A cognitive bias where people place too much importance on one aspect of an event, causing errors in judgment.
A logical fallacy where people assume that specific conditions are more probable than a single general one.
The phenomenon where people continue a failing course of action due to the amount of resources already invested.
The perception of a relationship between two variables when no such relationship exists.