Integrating Fairness and Explainability in a Multiple Instance Reinforcement Learning System
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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- 2026-10-02 04:00 · arXiv cs.LG
Integrating Fairness and Explainability in a Multiple Instance Reinforcement Learning System