Data Ethics Framework for Artificial Intelligence in Education (AIED)
Yvonne Hong, Andy Nguyen, Belle Dang, Bich‐Phuong Thi Nguyen
Abstract
In recent years, we have gradually adopted the applications of artificial intelligence in education (AIED) to improve our understanding of students’ learning and enhance their learning experiences. AIED can have a profound impact on the educational landscape, influencing the role of all involved in education. The adoption of AIED and its related large-scale data collection and analysis to do with learners seriously concern human-rights and related ethical and privacy aspects. This paper presents conceptual research establishing a data ethics framework for AIED by mapping and analyzing international organizations’ current policies and guidelines. In addition to contributing to the discussion of the benefits of AI in education, this paper raises data ethics concern for AIED. The proposed framework helps promote the design, development, and implementation of ethical and trustworthy AIED.