1. Bandi e concorsi
2. Assegni di ricerca
3. Dettaglio selezione

Assegno di ricerca - Human-centered, Explainable Artificial Intelligence for Collaborative Decision Making: advanced eXplainable AI (XAI) paradigms in support of synergistic human-machine interaction and collaboration. These should be aware of the characteristics and expertise of the human being interacted with, and prevent potential pitfalls that are common in the XAI literature like confirmation and automation bias. "human-in-the-loop" co-evolution of human decision making and machine learning models. Human decision makers and their AI assistant should learn from each other and jointly evolve to best exploit their respective strengths and overcome their respective weaknesses, optimizing the final outcome of the joint human-AI system.