The purpose of this article is to explore the role commitments may play in shaping our sense of joint agency. First, we propose that commitments may contribute to the generation of the sense of joint agency by stabilizing expectations and improving predictability. Second, we argue that commitments have a normative element that may bolster an agent's sense of control over the joint action and help counterbalance the potentially disruptive effects of asymmetries among agents. Finally, we discuss how commitments may contribute (...) to make acting jointly emotionally rewarding, both by improving coordination and by inducing or reinforcing the circumstances under which shared emotions emerge among co-agents. (shrink)

In this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more broadly of Artificial Intelligence, into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – an experience (...) that is commonly referred to as sense of agency. We propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human–AI interactions in the light of human–human relations. We approach the study of joint actions in human social interactions to deduce what key features are necessary for the development of a reliable sense of agency in a social context and suggest that such framework can help define what constitutes a good explanation. Finally, we propose possible directions to improve human–AI interactions and, in particular, to restore the sense of agency of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents. (shrink)