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Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design.

Naiseh, M., Bentley, C. and Ramchurn, S. D., 2022. Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design. In: 2022 IEEE Global Engineering Education Conference (EDUCON), 28-31 March 2022, Tunis, Tunisia, 901-905.

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DOI: 10.1109/EDUCON52537.2022.9766663


Recent advances in artificial intelligence, specifically machine learning, contributed positively to enhancing the autonomous systems industry, along with introducing social, technical, legal and ethical challenges to make them trustworthy. Although Trustworthy Autonomous Systems (TAS) is an established and growing research direction that has been discussed in multiple disciplines, e.g., Artificial Intelligence, Human-Computer Interaction, Law, and Psychology. The impact of TAS on education curricula and required skills for future TAS engineers has rarely been discussed in the literature. This study brings together the collective insights from a number of TAS leading experts to highlight significant challenges for curriculum design and potential TAS required skills posed by the rapid emergence of TAS. Our analysis is of interest not only to the TAS education community but also to other researchers, as it offers ways to guide future research toward operationalising TAS education.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Trustworthy Autonomous Systems; Education; Skillset
Group:Faculty of Science & Technology
ID Code:38674
Deposited By: Symplectic RT2
Deposited On:07 Aug 2023 08:59
Last Modified:07 Aug 2023 08:59


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