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Integrating Fairness and Explainability in a Multiple Instance Reinforcement Learning System

Via ArXiv cs.LG
Saturday, Oct 3, 2026 ยท 4:00AM
Summary

arXiv:2610.00035v1 Announce Type: new Abstract: Predicting student performance from educational interaction data requires models that are both accurate and sufficiently transparent to support meaningful intervention, while demographic information introduces an additional risk of unfair predictions.

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