The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T.Martin, McGinnity, J\"orn Mehnen

TL;DR
This paper systematically explores the key facets and challenges of human-centered AI in developing trustworthy robots and autonomous systems, emphasizing safety, security, health, HMI, and ethics.
Contribution
It introduces five key properties of trustworthy RAS, reviews implementation challenges, and proposes a new acceptance model for human-centered AI design.
Findings
Identified five key properties of trustworthy RAS.
Analyzed challenges in implementing trustworthy autonomous systems.
Proposed a new acceptance model for human-centered AI.
Abstract
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…
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Taxonomy
TopicsEthics and Social Impacts of AI · Human-Automation Interaction and Safety · Occupational Health and Safety Research
