Human-AI Symbiosis: A Survey of Current Approaches
This survey addresses the need for a structured overview of human-AI symbiosis research, primarily benefiting researchers in the field, but it is incremental as it synthesizes existing work without introducing new methods or data.
The paper provides a comprehensive survey of current approaches in human-AI collaboration, creating a taxonomy based on dimensions like complementing flow and teaming goals to clarify connections and guide new researchers.
In this paper, we aim at providing a comprehensive outline of the different threads of work in human-AI collaboration. By highlighting various aspects of works on the human-AI team such as the flow of complementing, task horizon, model representation, knowledge level, and teaming goal, we make a taxonomy of recent works according to these dimensions. We hope that the survey will provide a more clear connection between the works in the human-AI team and guidance to new researchers in this area.