Interdisciplinary Models and Frameworks for the Study of Artificial Social Intelligence

Abstract

This symposium provides a complementary set of papers exploring frameworks and models for developing artificial social intelligence (ASI) for teams. ASI consists of components of social cognition that support teamwork and more general interpersonal interactions. Although AI is rapidly evolving and fielded in a variety of operational settings, the implementation of such systems is vastly outpacing our ability to understand how to design and develop technologies appropriately. This symposium is meant to help redress this gap. Consisting of scholars representing the cognitive, computational, and organizational sciences, the papers discuss how they integrate theory and methods to inform development of agents capable of complex collaborative processes. Collectively, these papers synthesize perspectives across disciplines in support of an interdisciplinary research approach for ASL The goal is to contribute to research and development in the area of Human-AI-Robot Teaming effectiveness.