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

H. He; J. Gray; Angelo   Cangelosi; Q. Meng; T. M. McGinnity; J. Mehnen

doi:10.1109/IRCE50905.2020.9199244

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

H. He, J. Gray, Angelo Cangelosi, Q. Meng, T. M. McGinnity, J. Mehnen

Research output: Contribution to conference › Paper › peer-review

26 Citations (Scopus)

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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.

Original language	English
Pages	68-74
Number of pages	7
DOIs	https://doi.org/10.1109/IRCE50905.2020.9199244
Publication status	Published - 17 Sept 2020
Event	3rd International Conference on Intelligent Robotic and Control Engineering - Wadham College, University of Oxford, Oxford, United Kingdom Duration: 10 Aug 2020 → 12 Aug 2020

Conference

Conference	3rd International Conference on Intelligent Robotic and Control Engineering
Abbreviated title	IRCE 2020
Country/Territory	United Kingdom
City	Oxford
Period	10/08/20 → 12/08/20

Keywords

artiﬁcial intelligence
trustworthiness of RAS
cyber security
safety
health
human-robot interaction
performance of RAS

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10.1109/IRCE50905.2020.9199244

He-etal-IRCE-2020-The-challenges-and-opportunities-of-artificial-intelligenceAccepted author manuscript, 265 KB

Cite this

He, H., Gray, J., Cangelosi, A., Meng, Q., McGinnity, T. M., & Mehnen, J. (2020). The challenges and opportunities of artificial intelligence in implementing trustworthy robotics and autonomous systems. 68-74. Paper presented at 3rd International Conference on Intelligent Robotic and Control Engineering, Oxford, United Kingdom. https://doi.org/10.1109/IRCE50905.2020.9199244

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He, H, Gray, J, Cangelosi, A, Meng, Q, McGinnity, TM & Mehnen, J 2020, 'The challenges and opportunities of artificial intelligence in implementing trustworthy robotics and autonomous systems', Paper presented at 3rd International Conference on Intelligent Robotic and Control Engineering, Oxford, United Kingdom, 10/08/20 - 12/08/20 pp. 68-74. https://doi.org/10.1109/IRCE50905.2020.9199244

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KW - safety

KW - health

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ER -

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

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Keywords

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