Developing a Human Centred AI Masters: the Good, the Bad and the Ugly

Barry Feeney; Monica Zuccarini; Tarry Singh; Huib Aldewereld; Stefano Marrone; Keith Quille

doi:10.1145/3502717.3532120

Developing a Human Centred AI Masters: the Good, the Bad and the Ugly

Barry Feeney, Monica Zuccarini, Tarry Singh, Huib Aldewereld, Stefano Marrone, Keith Quille

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical content into traditional applied AI modules is progressing, it is not enough. To foster student competencies to create AI innovations that respect and support the protection of individual rights and society, a novel ground-up approach is needed. This panel presents on one such approach, the development of a Human-Centred AI Masters (HCAIM) as well as the insights and lessons learned from the process. In particular, we discuss the design decisions that have led to the multi-institutional master's programme. Moreover, this panel allows for discussion on pedagogical and methodological approaches, content knowledge areas and the delivery of such a novel programme, along with challenges faced, to inform and learn from other educators that are considering developing such programmes.

Original language	English
Title of host publication	ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education
Publisher	Association for Computing Machinery (ACM)
Pages	660-661
Number of pages	2
ISBN (Electronic)	9781450392006
DOIs	https://doi.org/10.1145/3502717.3532120
Publication status	Published - 7 Jul 2022
Event	27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022 - Dublin, Ireland Duration: 8 Jul 2022 → 13 Jul 2022

Publication series

Name	Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume	2
ISSN (Print)	1942-647X

Conference

Conference	27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022
Country/Territory	Ireland
City	Dublin
Period	8/07/22 → 13/07/22

Keywords

ai
ethics
graduate school
human centred ai
masters
ml

Access to Document

10.1145/3502717.3532120

Cite this

Feeney, B., Zuccarini, M., Singh, T., Aldewereld, H., Marrone, S., & Quille, K. (2022). Developing a Human Centred AI Masters: the Good, the Bad and the Ugly. In ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education (pp. 660-661). (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE; Vol. 2). Association for Computing Machinery (ACM). https://doi.org/10.1145/3502717.3532120

Feeney, Barry ; Zuccarini, Monica ; Singh, Tarry et al. / Developing a Human Centred AI Masters : the Good, the Bad and the Ugly. ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery (ACM), 2022. pp. 660-661 (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).

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abstract = "The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical content into traditional applied AI modules is progressing, it is not enough. To foster student competencies to create AI innovations that respect and support the protection of individual rights and society, a novel ground-up approach is needed. This panel presents on one such approach, the development of a Human-Centred AI Masters (HCAIM) as well as the insights and lessons learned from the process. In particular, we discuss the design decisions that have led to the multi-institutional master's programme. Moreover, this panel allows for discussion on pedagogical and methodological approaches, content knowledge areas and the delivery of such a novel programme, along with challenges faced, to inform and learn from other educators that are considering developing such programmes.",

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Feeney, B, Zuccarini, M, Singh, T, Aldewereld, H, Marrone, S & Quille, K 2022, Developing a Human Centred AI Masters: the Good, the Bad and the Ugly. in ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, vol. 2, Association for Computing Machinery (ACM), pp. 660-661, 27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022, Dublin, Ireland, 8/07/22. https://doi.org/10.1145/3502717.3532120

Developing a Human Centred AI Masters: the Good, the Bad and the Ugly. / Feeney, Barry; Zuccarini, Monica; Singh, Tarry et al.
ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery (ACM), 2022. p. 660-661 (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical content into traditional applied AI modules is progressing, it is not enough. To foster student competencies to create AI innovations that respect and support the protection of individual rights and society, a novel ground-up approach is needed. This panel presents on one such approach, the development of a Human-Centred AI Masters (HCAIM) as well as the insights and lessons learned from the process. In particular, we discuss the design decisions that have led to the multi-institutional master's programme. Moreover, this panel allows for discussion on pedagogical and methodological approaches, content knowledge areas and the delivery of such a novel programme, along with challenges faced, to inform and learn from other educators that are considering developing such programmes.

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Feeney B, Zuccarini M, Singh T, Aldewereld H, Marrone S, Quille K. Developing a Human Centred AI Masters: the Good, the Bad and the Ugly. In ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery (ACM). 2022. p. 660-661. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE). doi: 10.1145/3502717.3532120

Developing a Human Centred AI Masters: the Good, the Bad and the Ugly

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