Identifying the Ethical Values and Norms of Artificial Intelligence in Education: a Systematic Literature Review

With the increasing integration of Artificial Intelligence (AI) in our lives, including education, it is necessary to consider and address the ethical questions raised by this process. While the ethics of AI is widely researched, little attention has been paid to the ethics of AI in education (AIED). This systematic literature review aims to identify the main ethical values and norms for AIED in literature published after 2010 and available in English. Using database search and backward snowballing, 25 articles were included and analysed. In order to identify the ethical values, the definitions found inliterature were collected and reported. Thematic analysis and grouping were performed based on common terms. It was found that there are six main ethical values of AIED: non-discrimination, data stewardship, human oversight, goodwill, explicability, and educational aptness. The ethical norms found in the literature were grouped as per the stakeholder sets that they were relevant for and per main ethical value. Following this, these two groupings were combined into a matrix with ethical norms for stakeholder sets to follow in order to implement specific main ethical values. Identifying the main components of ethics of AIED is an initial step that can pave the way for future research aimed at creating ethical frameworks or regulation to ethically guide the domain.