Nichols, M;
Holmes, W;
(2018)
Don’t Do Evil: Implementing Artificial Intelligence in Universities.
In:
PROCEEDINGS: TOWARDS PERSONALIZED GUIDANCE AND SUPPORT FOR LEARNING, 2018.
(pp. pp. 109-117).
European Distance and E-Learning Network (EDEN): Barcelona.
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Abstract
Artificial Intelligence (AI) is changing the ways in which we experience everyday tasks, and its reach is extending into education. Promises of AI-driven personalised learning, learner agency, adaptive teaching and changes to teacher roles are increasingly becoming realistic but the ethical considerations surrounding these, and even simpler innovations are far from clear. Various ethical standards are proposed for AI, though these tend to be high-level and generic and do not serve to guide education practice. The multiple agencies concerned with AI analytics are also yet to provide a strong sense of direction. The Open University UK has established an AI working group to explore the contribution AI might make to improving student retention, success and satisfaction. With a specific emphasis on Artificial Intelligence in Education (AIEd), this paper proposes eight principles constituting an open ethical framework for implementing AI in educational settings in ways that empower students and provide transparency.
| Type: | Proceedings paper |
|---|---|
| Title: | Don’t Do Evil: Implementing Artificial Intelligence in Universities |
| Event: | 10th EDEN Research Workshop Proceedings |
| Location: | Barcelona |
| ISBN-13: | 978-615-5511-25-7 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://proceedings.eden-online.org/wp-content/upl... |
| Language: | English |
| Additional information: | Copyright Notice 2018 European Distance and E-Learning Network and the Authors This publication contributes to the Open Access movement by offering free access to its articles and permitting any users to read, download, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software. The copyright is shared by authors and EDEN to control over the integrity of their work and the right to be properly acknowledged and cited. To view a copy of this licence, visit http://www.creativecommons.org/licenses/by/4.0/ |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10139702 |
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