no code implementations • 24 Mar 2022 • David Solans, Andrea Beretta, Manuel Portela, Carlos Castillo, Anna Monreale
We observe that this setting elicits mostly rational behavior from participants, who place a moderate amount of trust in the DSS and show neither algorithmic aversion (under-reliance) nor automation bias (over-reliance). However, their stated willingness to accept the DSS in the exit survey seems less sensitive to the accuracy of the DSS than their behavior, suggesting that users are only partially aware of the (lack of) accuracy of the DSS.
no code implementations • 22 Nov 2021 • Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
A key issue in critical contexts such as medical diagnosis is the interpretability of the deep learning models adopted in decision-making systems.