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Ethical FRAPPE – an adapted draft framework for ethical AIED

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    Artificial Intelligence (AI) is pervading our lives in numerous ways today. It is important to apply ethical principles to guide the development and usage of AI systems to prevent harms or discrimination through AI algorithms. This has led to various ethical regulations and guidelines being formed at the corporate, national and supra-national level. The EU AI Act classifies the usage of AI in education as 'high-risk' as “such systems may violate the right to education and training as well as the right not to be discriminated against and perpetuate historical patterns of discrimination” [1, p. 26]. However, there has been little attention paid to ethics in AI in Education (AIED) in literature and there is only one existing framework to ethically guide AIED. AIED ethics is complex as it has to combine both general AI ethics and the ethics of educational technology. We aim to create a theoretical framework for AIED, comprising implementation guidelines for developers and organizational users of AI in education. In this paper, an existing draft framework by Holmes et al. is adapted by using insights from literature in the ethics of AI, ethics of educational technology and ethics of AIED.

    Original languageEnglish
    Title of host publication Proceedings of the Doctoral Consortium of the 17th European Conference on Technology Enhanced Learning
    EditorsIona Jivet, Daniele Di Mitri, Jan Schneider, Zacharoula Papamitsiou, Mikhal Fominykh
    Place of PublicationToulouse
    PublisherCEUR-WS.org
    Pages46-54
    Number of pages9
    Volume3292
    ISBN (Electronic)1613-0073
    Publication statusPublished - 1 Dec 2022
    Event17th European Conference on Technology Enhanced Learning - Toulouse, France
    Duration: 12 Sept 202216 Sept 2022

    Publication series

    SeriesCEUR Workshop Proceedings
    Volume3292
    ISSN1613-0073

    Conference

    Conference17th European Conference on Technology Enhanced Learning
    Abbreviated titleEC-TEL2022
    Country/TerritoryFrance
    CityToulouse
    Period12/09/2216/09/22

    Keywords

    • Artificial Intelligence
    • Education
    • Ethics

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