The challenges and opportunities of human-centred AI for trustworthy robots and autonomous systems

He, Hongmei and Gray, John and Cangelosi, Angelo and Meng, Qinggang and McGinnity, T.M. and Mehnen, Jörn (2021) The challenges and opportunities of human-centred AI for trustworthy robots and autonomous systems. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8939 (https://doi.org/10.1109/TCDS.2021.3132282)

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Abstract

The trustworthiness of robots and autonomous systems (RAS) has taken a prominent position on the way towards full autonomy. This work is the first to systematically explore the key facets of human-centred AI for trustworthy RAS. We identified five key properties of a trustworthy RAS, i.e., RAS must be (i) safe in any uncertain and dynamic environment; (ii) secure, i.e., protect itself from cyber threats; (iii) healthy and fault-tolerant; (iv) trusted and easy to use to enable effective human-machine interaction (HMI); (v) compliant with the law and ethical expectations. While the applications of RAS have mainly focused on performance and productivity, not enough scientific attention has been paid to the risks posed by advanced AI in RAS. We analytically examine the challenges of implementing trustworthy RAS with respect to the five key properties and explore the role and roadmap of AI technologies in ensuring the trustworthiness of RAS in respect of safety, security, health, HMI, and ethics. A new acceptance model of RAS is provided as a framework for human-centric AI requirements and for implementing trustworthy RAS by design. This approach promotes human-level intelligence to augment human capabilities and focuses on contribution to humanity.

  • Item type:Article
    ID code:81090
    Dates:
    Date
    Event
    2 December 2021
    Published
    2 December 2021
    Published Online
    30 November 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Keywords:human-centred artificial intelligence, trustworthiness of RAS, cyber security, safety, system health, human-robot interaction, performance of RAS, acceptance model, trustiness, worthiness, Engineering design, Human-Computer Interaction, SDG 3 - Good Health and Well-being
    Subjects:Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department:Strategic Research Themes > Advanced Manufacturing and Materials
    Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:14 Jun 2022 10:54
    Last modified:19 Mar 2023 04:16
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/81090
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