##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jun 30, 2023

Lan Huang  

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.

Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

Keywords

Ethics, Artificial Intelligence, Students, Data Privacy, Data Security, Data Protection

References
Audet, C., Le Digabel, S., & Tribes, C. (2016). Dynamic scaling in the mesh adaptive direct search algorithm for blackbox optimization. Optimization and Engineering, 17(2):333-358. DOI: http://dx.doi.org/10.1007%2Fs11081-015-9283-0

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
Section
Review