He_etal_IRCE_2020_The_challenges_and_opportunities_of_artificial_intelligence.pdf (264.57 kB)

The challenges and opportunities of artificial intelligence for trustworthy robots and autonomous systems

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conference contribution
posted on 09.09.2021, 11:24 by Hongmei He, John Gray, Angelo Cangelosi, Qinggang MengQinggang Meng, TM McGinnity, Jorn Mehnen
Trust is essential in designing autonomous and semiautonomous Robots and Autonomous Systems (RAS), because of the 'No trust, no use' concept. RAS should provide high quality services, with four key properties that make them trustworthy: They must be (i) robust with regards to any system health related issues, (ii) safe for any matters in their surrounding environments, (iii) secure against any threats from cyber spaces, and (iv) trusted for human-machine interaction. This article thoroughly analyses the challenges in implementing the trustworthy RAS in respects of the four properties, and addresses the power of AI in improving the trustworthiness of RAS. While we focus on the benefits that AI brings to human, we should realize the potential risks that could be caused by AI. This article introduces for the first time the set of key aspects of human-centered AI for RAS, which can serve as a cornerstone for implementing trustworthy RAS by design in the future.

History

School

  • Science

Department

  • Computer Science

Published in

2020 3rd International Conference on Intelligent Robotic and Control Engineering (IRCE)

Pages

68 - 74

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2020 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.

Publication date

2020-09-17

Copyright date

2020

ISBN

9781728189727

Language

en

Location

Oxford, UK (Virtual)

Event dates

10th August 2020 - 12th August 2020

Depositor

Prof Qinggang Meng. Deposit date: 6 September 2021