Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A cognitive bias where people attribute group behavior to the characteristics of the group members rather than the situation.
The phenomenon where people continue a failing course of action due to the amount of resources already invested.
The tendency for people to pay more attention to items placed in the center of a visual field.
A behavioral economic theory that describes how people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
A principle that suggests the simplest explanation is often the correct one, favoring solutions that make the fewest assumptions.
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses.
A logical fallacy that occurs when one assumes that what is true for a part is also true for the whole.