Ethical Implications and Principles of Using Artificial Intelligence Models in the Classroom: A Systematic Literature Review.

Authors

DOI:

https://doi.org/10.9781/ijimai.2024.02.010

Keywords:

Artificial Intelligence, Classroom, Education, Ethical Implications, Ethical Principles, Systematic Literature Review
Supporting Agencies
This study was supported by the Taiwan Comprehensive University System (TCUS) and the National Science and Technology Council, Taiwan, under grant NSTC 111-2410-H-019-006-MY3 and NSTC 111-2423-H-153-001-MY3.

Abstract

The increasing use of artificial intelligence (AI) models in the classroom not only brings a large number of benefits, but also has a variety of ethical implications. To provide effective education, it is now necessary to understand the ethical implications of using AI models in the classroom, and the principles for avoiding and addressing these ethical implications. However, existing research on the ethical implications of using AI models in the classroom is rather sparse, and a holistic overview is lacking. Therefore, this study seeks to offer an overview of research on the ethical implications, ethical principles and the future research directions and practices of using AI models in the classroom through a systematic literature review. Out of 1,445 initially identified publications between 2013 and 2023, 32 articles were included for final coding analysis, identified using explicit inclusion and exclusion criteria. The findings revealed five main ethical implications, namely algorithmic bias and discrimination, data privacy leakage, lack of transparency, decreased autonomy, and academic misconduct, with algorithmic bias being the most prominent (i.e., the number of existing studies is the most), followed by privacy leakage, whereas decreased autonomy and academic misconduct were relatively understudied; and six main ethical principles, namely fairness, privacy, transparency, accountability, autonomy and beneficence, with fairness being the most prominent ethical principle (i.e., the number of existing studies is the most), followed by privacy, while autonomy and beneficence were relatively understudied. Future directions of research are given, and guidelines for future practice are provided: (1) further substantive discussion, understanding and solution of ethical implications are required; (2) the precise mechanism of ethical principles of using AI models in the classroom remains to be elucidated and extended to the implementation phase; and (3) the ethical implications of the use of AI models in the classroom require accurate assessment.

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Tang, L. and Sheng Su, Y. (2024). Ethical Implications and Principles of Using Artificial Intelligence Models in the Classroom: A Systematic Literature Review. International Journal of Interactive Multimedia and Artificial Intelligence, 8(5), 25–36. https://doi.org/10.9781/ijimai.2024.02.010