Trust - Trust is a person's confidence that an AI system can be relied upon in a particular situation.
Trustworthiness - Trustworthiness is the extent to which an AI system merits reliance for a specified purpose, supported by relevant evidence about its behavior, limitations...
Trustworthy AI - Trustworthy AI is AI developed and used in ways that provide justified grounds for reliance in its intended context.
Unbiased estimator - An unbiased estimator is a rule for estimating an unknown quantity whose expected value equals that quantity under the assumed sampling model.
Uncertainty - Uncertainty is the presence of unresolved possibilities about an outcome, quantity, explanation, or state of the world given the available information.
Uncertainty Bias - Uncertainty bias, in the supplied Artificial Intelligence Ontology sense, occurs when a predictive system favors groups represented more strongly in its...
Usability - Usability describes how well particular users can achieve their goals with a system in a particular setting, considering effectiveness, efficiency, and...
Usability testing - Usability testing evaluates a product by observing relevant users attempting realistic tasks with it.
Use And Interpretation Bias - Use and interpretation bias, in the supplied ontology's interpretive sense, is a systematic distortion in how ambiguous information, situations, or events...
User-centered design - User-centered design is an iterative approach to creating systems around an explicit understanding of the people who will use them, their goals, and their...
User Interaction Bias - User interaction bias arises when people's existing biases or patterned behavior shape their interaction with data, AI outputs, or results.
Value alignment - Value alignment concerns whether an AI system's objectives and behavior correspond to the human values, interests, and intentions it is meant to serve.
Value sensitive design - Value sensitive design is an approach to technology design that systematically considers human values throughout the design process.
Variable - A variable is a symbol or named quantity that can take values from a specified set, called its domain.
Virtual adversarial training - Virtual adversarial training, or VAT, is a regularization method that encourages a model's predicted probability distribution to remain stable around each...