Human-AI Symbiosis: A Survey of Current Approaches
arXiv:2103.09990
Abstract
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.
References in corpus (6)
- Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior
- Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
- Investigating Human + Machine Complementarity for Recidivism Predictions
- Balancing Explicability and Explanation in Human-Aware Planning
- Nonverbal Robot Feedback for Human Teachers
- Model Elicitation through Direct Questioning