Overconfidence Effect
A cognitive bias where a person's subjective confidence in their judgments is greater than their objective accuracy.
A cognitive bias where a person's subjective confidence in their judgments is greater than their objective accuracy.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution.
A cognitive bias where individuals overestimate their own abilities, qualities, or performance relative to others.