Autonomous Policy Explanations for Effective Human-Machine Teaming
Abstract
Policy explanation, a process for describing the behavior of an autonomous system, plays a crucial role in effectively conveying an agent's decision-making rationale to human collaborators and is essential for safe real-world deployments. It becomes even more critical in effective human-robot teaming, where good communication allows teams to adapt and improvise successfully during uncertain situations by enabling value alignment within the teams. This thesis proposal focuses on improving human-machine teaming by developing novel human-centered explainable AI (xAI) techniques that empower autonomous agents to communicate their capabilities and limitations via multiple modalities, teach and influence human teammates' behavior as decision-support systems, and effectively build and manage trust in HRI systems.
BibTeX
@article{Tabrez_2024, title={Autonomous Policy Explanations for Effective Human-Machine Teaming}, volume={38}, url={https://ojs.aaai.org/index.php/AAAI/article/view/30412}, DOI={10.1609/aaai.v38i21.30412}, abstractNote={Policy explanation, a process for describing the behavior of an autonomous system, plays a crucial role in effectively conveying an agent’s decision-making rationale to human collaborators and is essential for safe real-world deployments. It becomes even more critical in effective human-robot teaming, where good communication allows teams to adapt and improvise successfully during uncertain situations by enabling value alignment within the teams. This thesis proposal focuses on improving human-machine teaming by developing novel human-centered explainable AI (xAI) techniques that empower autonomous agents to communicate their capabilities and limitations via multiple modalities, teach and influence human teammates’ behavior as decision-support systems, and effectively build and manage trust in HRI systems.}, number={21}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Tabrez, Aaquib}, year={2024}, month={Mar.}, pages={23423-23424} }