Representativeness
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case.
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case.
A cognitive bias where people place too much importance on one aspect of an event, causing errors in judgment.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions.
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information.
A logical fallacy where people assume that specific conditions are more probable than a single general one.
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems.
A cognitive bias where a person's subjective confidence in their judgments is greater than their objective accuracy.
A cognitive bias where the total probability assigned to a set of events is less than the sum of the probabilities assigned to each event individually.