Ethics of Artificial Intelligence in Education: Student Privacy and Data Protection
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Published
Jun 30, 2023
Abstract
Rapid advances in artificial intelligence (AI) technology are profoundly altering human societies and lifestyles. Individuals face a variety of information security threats while enjoying the conveniences and customized services made possible by AI. The widespread use of AI in education has prompted widespread public concern regarding AI ethics in this field. The protection of pupil data privacy is an urgent matter that must be addressed. On the basis of a review of extant interpretations of AI ethics and student data privacy, this article examines the ethical risks posed by AI technology to student personal information and provides recommendations for addressing concerns regarding student data security.
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Keywords
Ethics, Artificial Intelligence, Students, Data Privacy, Data Security, Data Protection
References
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Tan, J., & Yang, J. (2019). Ethical risks of artificial intelligence technology and collaborative governance. Chinese Public Administration, 2019(10):44-50. DOI: https://doi.org/10.19735/j.issn.1006-0863.2019. 10.07
Tang, Y., & Wang, L. (2020). An overview of theoretical research on data privacy protection. Review of Industrial Economics, 2020(5):95-108. DOI: https://doi.org/10.19313/j.cnki.cn10-1223/f.2020.05.008
Thongmak, M. (2013). Social network system in classroom: antecedents of Edmodo© adoption. Journal of E-learning and Higher Education, 2013(1):1-15. DOI: https://doi.org/10.5171/2013.657749
UNESCO. (2022). Recommendation on the Ethics of Artificial Intelligence. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000381137
Wang, Z. (2016). American student data privacy protection legislation and governance frameworks in the era of big data. International and Comparative Education, 2016(11):28-33. DOI: https://doi.org/10.20013/j.cnki.ice.2016.11.005
Xue, L., & Zhao, J. (2019). Paths to agile governance: The development of emerging industries and regulatory models. Chinese Public Administration, 2019(8):28-34. DOI: https://doi.org/10.19735/j.issn.1006-0863.2019.08.02
Zhang, Q. (2022). Transformation of modes of production in the age of artificial intelligence: An analysis based on the phenomenon of “human-like machines.” Journal of Socialist Theory Guide, 2022(9):72-79.
Zhao, H., Jiang, Q., & Zhao, W. (2016). The security of big data-based learning analytics and privacy protection. Modern Educational Technology, 26(3):5-11. DOI: https://doi.org/10.3969/j.issn.1009-8097.2016.03.001
Zhao, Z., Xu F., Gao, F., Li, F., Hou, H., & Li, M. (2021). An evaluation of ethical risks in artificial intelligence. China Soft Science, 2021(6):1-12.
Cate, F. H., & Mayer-Schönberger, V. (2013). Notice and consent in the age of big data. International Data Privacy Law, 3(2):67-73. DOI: http://dx.doi.org/10.1093/idpl/ipt005
Chen, Y., & Yu, J. (2018). The Industry Self-discipline Mechanism of the Ontario Association of Early Education Personnel of Canada. Journal of Shaanxi Xueqian Normal University, 2018(2):118-122
Clarke, R. (1999). Internet privacy concerns confirm the case for intervention. Communications of the ACM, 42(2):60-67. DOI: https://doi.org/10.1145/293411.293475
Guo, Y. (2021). The Cultural Implications and Ethical Risks of Algorithm Society. Chinese Book Review, 2021(9):45-53 DOI: https://doi.org/10.3969/j.issn.1002-235X.2021.09.006
Hao, X., Wang, F., & Qi, C. (2019). The current status and developmental trends of educational artificial intelligence. Modern Educational Technology, 2019(2):12-18.
Hoofnagle, C. J., Van Der Sloot, B., & Borgesius, F. Z. (2019). The European Union general data protection regulation: what it is and what it means. Information & Communications Technology Law, 28(1):65-98.
Jia, K., & Jiang, Y. (2017). Three basic issues of artificial intelligence governance: Technical logic, challenges, and public policy making. Chinese Public Administration, 2017(10):40-45. DOI: https://doi.org/10.3782/j.issn.1006-0863.2017.10.07
Jiang, S. (2019). Rejecting surveillance cameras on campus. Teachers’ Perspectives, 2019(12):2.
Liu, F. (2016). The protection of the rights of college students. Journal of Jiangsu College of Engineering and Technology, 2016(3):59-62. DOI: https://doi.org/10.19315/j.issn.2096-0425.2016.03.014
Liu, S., Liu, S., Sun, J, Shen, X., & Liu, Z. (2021). Several key issues in the development of intelligent education. Distance Education in China, 2021(4):1-7+76. DOI: https://doi.org/10.13541/j.cnki.chinade.2021.04.001
Luo, H., & Li, X. (2021). Ethical issues in intelligent justice and countermeasures. Journal of Political Science and Law, 2021(1):148-160.
Ministry of Science and Technology of China. (2021). Ethical Rules for New-Generation Artificial Intelligence. Available at: https://www.most.gov.cn/kjbgz/202109/t20210926_177063.html
Peng, L. (2020). Multiple factors in the “information cocoon” effect and the paths to “breaking the cocoon.” Press Circles, 2020(1):30-38+73. DOI: https://doi.org/10.15897/j.cnki.cn51-1046/g2.20191230.001
Sharkey, A. (2014). Robots and human dignity: a consideration of the effects of robot care on the dignity of older people. Ethics and Information Technology, 16(1):63-75. DOI: https://doi.org/10.1007/s10676-014-9338-5
Shi, Y., & Zhou, X. (2022). The debate on the “right to be forgotten” in the era of big data: To be remembered or forgotten? Editorial Friends, 2022(12):88-99. DOI: https://doi.org/10.13786/j.cnki.cn14-1066/g2.2022.12.012
Si, X., & Cao, J. (2017). On the civil liability of artificial intelligence: Using self-driving vehicles and intelligent robots as examples. Science of Law (Journal of Northwest University of Political Science and Law), 2017(5):166-173. DOI: https://doi.org/10.16290/j.cnki.1674-5205.2017.05.016
Sun, P. Violations of student privacy in school management and legal considerations. Journal of Teaching and Management, 2007(5):17-19. DOI: https://doi.org/10.3969/j.issn.1004-5872-C.2007.05.005
Tan, J., & Yang, J. (2019). Ethical risks of artificial intelligence technology and collaborative governance. Chinese Public Administration, 2019(10):44-50. DOI: https://doi.org/10.19735/j.issn.1006-0863.2019. 10.07
Tang, Y., & Wang, L. (2020). An overview of theoretical research on data privacy protection. Review of Industrial Economics, 2020(5):95-108. DOI: https://doi.org/10.19313/j.cnki.cn10-1223/f.2020.05.008
Thongmak, M. (2013). Social network system in classroom: antecedents of Edmodo© adoption. Journal of E-learning and Higher Education, 2013(1):1-15. DOI: https://doi.org/10.5171/2013.657749
UNESCO. (2022). Recommendation on the Ethics of Artificial Intelligence. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000381137
Wang, Z. (2016). American student data privacy protection legislation and governance frameworks in the era of big data. International and Comparative Education, 2016(11):28-33. DOI: https://doi.org/10.20013/j.cnki.ice.2016.11.005
Xue, L., & Zhao, J. (2019). Paths to agile governance: The development of emerging industries and regulatory models. Chinese Public Administration, 2019(8):28-34. DOI: https://doi.org/10.19735/j.issn.1006-0863.2019.08.02
Zhang, Q. (2022). Transformation of modes of production in the age of artificial intelligence: An analysis based on the phenomenon of “human-like machines.” Journal of Socialist Theory Guide, 2022(9):72-79.
Zhao, H., Jiang, Q., & Zhao, W. (2016). The security of big data-based learning analytics and privacy protection. Modern Educational Technology, 26(3):5-11. DOI: https://doi.org/10.3969/j.issn.1009-8097.2016.03.001
Zhao, Z., Xu F., Gao, F., Li, F., Hou, H., & Li, M. (2021). An evaluation of ethical risks in artificial intelligence. China Soft Science, 2021(6):1-12.
How to Cite
Huang, L. (2023). Ethics of Artificial Intelligence in Education: Student Privacy and Data Protection . Science Insights Education Frontiers, 16(2), 2577–2587. https://doi.org/10.15354/sief.23.re202
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