Giovanni De Toni

Personalized Causal Recourse: A Human-In-The-Loop Approach

Denise Tampieri, Giovanni De Toni, Paolo Giudici

Algorithmic recourse addresses the challenge of providing tailored recommendations to users affected by unfavorable machine learning decisions, in potentially high-stakes scenarios. Traditional approaches to recourse often rely on the closest counterfactual explanations or assume…Read more