The challenges and opportunities of artificial intelligence in implementing trustworthy robotics and autonomous systems

He, H. and Gray, J. and Cangelosi, Angelo and Meng, Q. and McGinnity, T. M. and Mehnen, J. (2020) The challenges and opportunities of artificial intelligence in implementing trustworthy robotics and autonomous systems. In: 3rd International Conference on Intelligent Robotic and Control Engineering, 2020-08-10 - 2020-08-12, Wadham College, University of Oxford. (https://doi.org/10.1109/IRCE50905.2020.9199244)

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Abstract

Effective Robots and Autonomous Systems (RAS) must be trustworthy. Trust is essential in designing autonomous and semi-autonomous technologies, because “No trust, no use”. RAS should provide high quality of services, with the four key properties that make it trust, i.e. they must be (i) robust for any health issues, (ii) safe for any matters in their surrounding environments, (iii) secure for any threats from cyber spaces, and (iv) trusted for human-machine interaction. We have thoroughly analysed the challenges in implementing the trustworthy RAS in respects of the four properties, and addressed the power of AI in improving the trustworthiness of RAS. While we put our eyes on the benefits that AI brings to human, we should realise the potential risks that could be caused by AI. The new concept of human-centred AI will be the core in implementing the trustworthy RAS. This review could provide a brief reference for the research on AI for trustworthy RAS.

ORCID iDs

He, H., Gray, J., Cangelosi, Angelo, Meng, Q., McGinnity, T. M. and Mehnen, J. ORCID logoORCID: https://orcid.org/0000-0001-6625-436X;
  • Item type:Conference or Workshop Item(Paper)
    ID code:72360
    Dates:
    Date
    Event
    17 September 2020
    Published
    8 May 2020
    Accepted
    15 April 2020
    Submitted
    Notes:©2020 IEEE H. He, J. Gray, A. Cangelosi, Q. Meng, T. M. McGinnity and J. Mehnen, "The Challenges and Opportunities of Artificial Intelligence for Trustworthy Robots and Autonomous Systems," 2020 3rd International Conference on Intelligent Robotic and Control Engineering (IRCE), Oxford, UK, 2020, pp. 68-74, doi: 10.1109/IRCE50905.2020.9199244
    Subjects:Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:13 May 2020 15:54
    Last modified:21 Nov 2024 01:40
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/72360
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