The trustworthiness of Robots and Autonomous Systems (RAS) has gained a prominent position on many research agendas towards fully autonomous systems. This research systematically explores, for the first time, the key facets of human-centered AI (HAI) for trustworthy RAS. In this article, five key properties of a trustworthy RAS initially have been identified. RAS must be (i) safe in any uncertain and dynamic surrounding environments; (ii) secure, thus protecting itself from any cyber-threats; (iii) healthy with fault tolerance; (iv) trusted and easy to use to allow effective human-machine interaction (HMI), and (v) compliant with the law and ethical expectations. Then, the challenges in implementing trustworthy autonomous system are analytically reviewed, in respects of the five key properties, and the roles of AI technologies have been explored to ensure the trustiness of RAS with respects to safety, security, health and HMI, while reflecting the requirements of ethics in the design of RAS. While applications of RAS have mainly focused on performance and productivity, the risks posed by advanced AI in RAS have not received sufficient scientific attention. Hence, a new acceptance model of RAS is provided, as a framework for requirements to human-centered AI and for implementing trustworthy RAS by design. This approach promotes human-level intelligence to augment human's capacity. while focusing on contributions to humanity.
翻译:机器人和自主系统(RAS)的可信赖性在许多面向完全自主的系统的研究议程上占据了突出地位,这一研究首次系统地探索了以人为中心的自主系统的关键方面,以便进行值得信赖的RAS。在本条中,最初确定了可靠的RAS的五个关键特性。RAS必须:(一) 在任何不确定和动态周围环境中安全;(二) 安全,从而保护自己免受任何网络威胁;(三) 健康,容忍过错;(四) 可靠和易于使用,以便能够有效地进行人体机器互动;(五) 符合法律和道德期望。然后,对执行可靠的自主系统(AI)的关键方面进行分析性审查,从五个关键特性方面,并探讨了AI技术的作用,以确保RAS在安全、安全、健康和动态周围环境中具有信任性,同时反映设计RAS时的道德要求。RAS的应用主要侧重于业绩和生产力,而高级AI在应用中带来的风险没有得到足够的科学关注,以及(五)符合法律和道德期望。因此,对可信赖的自主系统实施的挑战进行了分析性审查,并探讨了AI技术的作用,以确保RAS在安全、健康、健康和人类设计方面有一个新的接受性框架,同时将它作为人性设计的基础。