AI agents for facilitating social interactions and wellbeing
It addresses the gap in developing wellbeing AI for social interactions, which is crucial for mental health and societal flourishing, but is incremental as it offers an overview rather than new methods.
The paper provides an overview of AI-augmented agents for facilitating social interactions to promote wellbeing, discussing a classification framework and addressing technical and ethical challenges.
Wellbeing AI has been becoming a new trend in individuals' mental health, organizational health, and flourishing our societies. Various applications of wellbeing AI have been introduced to our daily lives. While social relationships within groups are a critical factor for wellbeing, the development of wellbeing AI for social interactions remains relatively scarce. In this paper, we provide an overview of the mediative role of AI-augmented agents for social interactions. First, we discuss the two-dimensional framework for classifying wellbeing AI: individual/group and analysis/intervention. Furthermore, wellbeing AI touches on intervening social relationships between human-human interactions since positive social relationships are key to human wellbeing. This intervention may raise technical and ethical challenges. We discuss opportunities and challenges of the relational approach with wellbeing AI to promote wellbeing in our societies.