Mattia Petrolo

Modeling Bias in Machine Learning with Description Logics and Epistemic Modalities

This work develops a Description Logic–based general formalization of the structure underlying several types of bias, with explicit attention to the epistemic states of agents, to integrate ontological constraints with representations of agents’ epistemic attitudes, thereby connecting DL-based knowledge representation...