首页|Research Study Findings from University of London Update Understanding of Robotics (Who’s in charge here? A survey on Trustworthy AI in Variable Autonomy Robotic Systems)
Research Study Findings from University of London Update Understanding of Robotics (Who’s in charge here? A survey on Trustworthy AI in Variable Autonomy Robotic Systems)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Investigators discuss new findings in robotics. According to news reporting from London, United Kingdom, by NewsRx journalists, research stated, “This paper surveys the Variable Autonomy (VA) robotics literature that considers two contributory elements to Trustworthy AI: transparency and explainability.” Our news reporters obtained a quote from the research from University of London: “These elements should play a crucial role when designing and adopting robotic systems, especially in VA where poor or untimely adjustments of the system’s level of autonomy can lead to errors, control conflicts, user frustration and ultimate disuse of the system. Despite this need, transparency and explainability is, to the best of our knowledge, mostly overlooked in VA robotics literature or is not considered explicitly. In this paper, we aim to present and examine the most recent contributions to the VA literature concerning transparency and explainability. In addition, we propose a way of thinking about VA by breaking these two concepts down based on: the mission of the human-robot team; who the stakeholder is; what needs to be made transparent or explained; why they need it; and how it can be achieved.”
University of LondonLondonUnited KingdomEuropeEmerging TechnologiesMachine LearningRoboticsRobots
NETL
NSTL
