Designing for Bi-Directional Transparency in Human-AI-Robot-Teaming

This paper takes a practitioner’s perspective on advancing bi-directional transparency in human-AI-robot teams (HARTs). Bi-directional is important for HARTs because the better that people and artificially intelligent agents can understand one another’s capabilities, limits, inputs, outputs contexts given task environment; they work as team to accomplish shared goals, interdependent tasks, overall missions. understanding be built, augmented, broken repaired at various stages across technology life cycle, including conceptual design; iterative design of software, hardware interfaces; marketing sales; system training; operational use; updating adaptation stages. provides an overview some best practices challenges building this different points cycle systems. The goal help advance wider discussion sharing lessons learned from recent area.