Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
Authors: Naiseh, M., Bentley, C. and Ramchurn, S.D.
Journal: IEEE Global Engineering Education Conference, EDUCON
Volume: 2022-March
Pages: 901-905
eISSN: 2165-9567
ISBN: 9781665444347
ISSN: 2165-9559
DOI: 10.1109/EDUCON52537.2022.9766663
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.
https://eprints.bournemouth.ac.uk/38674/
Source: Scopus
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
Authors: Naiseh, M., Bentley, C. and Ramehurn, S.D.
Journal: PROCEEDINGS OF THE 2022 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON 2022)
Pages: 901-905
ISSN: 2165-9567
DOI: 10.1109/EDUCON52537.2022.9766663
https://eprints.bournemouth.ac.uk/38674/
Source: Web of Science (Lite)
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
Authors: Naiseh, M., Bentley, C. and Ramchurn, S.D.
Conference: 2022 IEEE Global Engineering Education Conference (EDUCON)
Volume: 2022-M
Pages: 901-905
Publisher: IEEE
ISBN: 9781665444347
ISSN: 2165-9559
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.
https://eprints.bournemouth.ac.uk/38674/
Source: BURO EPrints