Ethical FRAPPE – an adapted draft framework for ethical AIED

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


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
Number of pages9
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


Conference17th European Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL2022


  • Artificial Intelligence
  • Education
  • Ethics


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