Trustworthy Autonomous Systems (TAS): engaging TAS experts in curriculum design
Trustworthy Autonomous Systems (TAS): engaging TAS experts in curriculum design
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.
Education, Skillset, Trustworthy Autonomous Systems
901-905
Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Bentley, Caitlin
d459133b-451f-4c5c-8c92-0e59649a67cf
11 May 2022
Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Bentley, Caitlin
d459133b-451f-4c5c-8c92-0e59649a67cf
Naiseh, Mohammad, Ramchurn, Sarvapali and Bentley, Caitlin
(2022)
Trustworthy Autonomous Systems (TAS): engaging TAS experts in curriculum design.
2022 IEEE Global Engineering Education Conference (EDUCON).
28 - 31 Mar 2022.
.
(doi:10.1109/EDUCON52537.2022.9766663).
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
IEEE GEE Syllabus Lab paper - Camera ready version- no
- Accepted Manuscript
More information
Accepted/In Press date: 16 January 2022
e-pub ahead of print date: 11 May 2022
Published date: 11 May 2022
Additional Information:
Funding Information:
1 The Hub sits at the centre of the Trustworthy Autono mous Systems Programme, funded by the UKRI Strategic Priorities Fund. https://www.tas.ac.uk/
Publisher Copyright:
© 2022 IEEE.
Venue - Dates:
2022 IEEE Global Engineering Education Conference (EDUCON), 2022-03-28 - 2022-03-31
Keywords:
Education, Skillset, Trustworthy Autonomous Systems
Identifiers
Local EPrints ID: 468531
URI: http://eprints.soton.ac.uk/id/eprint/468531
PURE UUID: c42571fc-75e7-4d48-96f2-f2d0cf5b9503
Catalogue record
Date deposited: 17 Aug 2022 16:46
Last modified: 17 Mar 2024 04:07
Export record
Altmetrics
Contributors
Author:
Mohammad Naiseh
Author:
Sarvapali Ramchurn
Author:
Caitlin Bentley
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics