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Artificial Intelligence in Higher Education: Towards a More Relational Approach
Stockholm University, Faculty of Law, Department of Law.
2022 (English)In: Journal of Regulatory Compliance, ISSN 2831-3062, Vol. VIII, p. 18-54Article in journal (Refereed) Published
Abstract [en]

To contribute to the emerging discipline of Responsible Artificial Intelligence (AI), this paper seeks to determine in more detail what responsibility means within the context of the deployment of AI in the Higher Education (HE) context. More, specifically, it seeks to disentangle the boundaries of legal responsibilities within a complex system of humans and technology to understand more clearly who is responsible and for what under the law when it comes to use of facial recognition technology (FRT) in this context. The focus of the paper is on examining the critical role and distinct nature of Ed Tech in providing FRT to the HE. Apply relational ethics theory, it asks what the legal obligations of Ed Tech product and service developers (private organizations) are in relation to the universities (public and private authorities involved in teaching and research), teachers, students and other stakeholders who utilize these AI-driven tools. 

Place, publisher, year, edition, pages
2022. Vol. VIII, p. 18-54
National Category
Law
Identifiers
URN: urn:nbn:se:su:diva-205078OAI: oai:DiVA.org:su-205078DiVA, id: diva2:1661588
Available from: 2022-05-29 Created: 2022-05-29 Last updated: 2022-05-30Bibliographically approved

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Colonna, Liane

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