XAI
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A principle that suggests people are more likely to comply with requests or follow suggestions from authority figures.
The tendency to cling to one's beliefs even in the face of contradictory evidence.
Pre-selected options in a user interface that are chosen to benefit the majority of users.
A strategic framework that designs user experiences to guide behavior and decisions towards desired outcomes.
A theory in economics that models how rational individuals make decisions under risk by maximizing the expected utility of their choices.
A method used to create detailed narratives of potential future events to explore and understand possible outcomes and inform decision-making.
The practice of setting defaults in decision environments to influence outcomes, often used in behavioral economics and design.