A growing body of interdisciplinary literature indicates that human decision-making processes can be enhanced by Artificial Intelli- gence (AI). Nevertheless, the use of AI in critical domains has also raised significant concerns regarding its final users, those affected by the under- taken decisions, and the broader society. Consequently, recent studies are shifting their focus towards the development of human-centered frame- works that facilitate a synergistic human-machine collaboration while upholding ethical and legal standards. In this work, we present a taxon- omy for hybrid decision-making systems to classify systems according to the type of interaction that occurs between human and artificial intel- ligence. Furthermore, we identify gaps in the current body of literature and suggest potential directions for future research
Towards Synergistic Human-AI Collaboration in Hybrid Decision-Making Systems
Punzi, Clara;Setzu, Mattia;Pellungrini, Roberto;Giannotti, Fosca;Pedreschi, Dino
2023-01-01
Abstract
A growing body of interdisciplinary literature indicates that human decision-making processes can be enhanced by Artificial Intelli- gence (AI). Nevertheless, the use of AI in critical domains has also raised significant concerns regarding its final users, those affected by the under- taken decisions, and the broader society. Consequently, recent studies are shifting their focus towards the development of human-centered frame- works that facilitate a synergistic human-machine collaboration while upholding ethical and legal standards. In this work, we present a taxon- omy for hybrid decision-making systems to classify systems according to the type of interaction that occurs between human and artificial intel- ligence. Furthermore, we identify gaps in the current body of literature and suggest potential directions for future researchI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.