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A new model of trust based on neural information processing
When an act of trust is reciprocated or violated, this provides new information that can be used to anticipate future actions.
Algorithmic Fairness in Education
Data-driven predictive models are increasingly used in education to support students, instructors, and administrators.
Evaluation of Fairness Trade-offs in Predicting Student Success
Predictive models for identifying at-risk students early can help teaching staff direct resources to better support them, but there is a growing concern about the fairness of algorithmic systems in education.
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