How do people explain the behaviour of robots? Epistemology of XAI and social robotics
As AI systems become increasingly integrated into various societal domains, the ability to provide clear and contextually relevant explanations of their actions is essential for fostering user trust and facilitating effective interactions.
The special session will delve into the fundamental concept of explanation within the realm of Artificial Intelligence (AI) and Social Robotics.
We will draw upon insights from the HERB (Human Explanation of Robotic Behavior) project, funded by the PRIN program: Progetti di Ricerca di Rilevante Interesse Nazionale. The project investigates how individuals interpret and explain the actions of robots in social and educational contexts, analysing factors that influence the interpretation of robotic behavior, including the type of robot—whether social or non-social, humanoid or non-humanoid—and the backgrounds and experiences of the users.
This session aims to provide a platform for researchers to discuss the concept of explanation from a philosophic perspective and its implications for ethical considerations and the design of AI systems and social robots. It will serve as a forum for exploring future research directions related to the intersection of explanation and human-robot interaction, fostering collaboration among scholars in the field.
Organizers:
- Agnese Augello, ICAR-CNR, Italy
- Riccardo Bruni, University of Florence, Italy
- Luca Castaldo, University of Florence, Italy
- Laura Crosilla, University of Florence, Italy
- Edoardo Datteri, University of Milano Bicocca, Italy
- Margherita Di Stasio, National Institute for Documentation, Innovation and Educational Research, Italy
- Claudia Fini, National Institute for Documentation, Innovation and Educational Research, Italy
- Silvia Larghi, University of Milano Bicocca, Italy
- Antonio Lieto, University of Salerno, Italy
- Beatrice Miotti, National Institute for Documentation, Innovation and Educational Research, Italy
- Maria Rausa, ICAR-CNR, Italy
- Nicola Zagni, University of Milano Bicocca, Italy