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 research
2023
9783031746260
9783031746277
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1290967
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