Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Security and Privacy Protection Policies of Artificial Intelligence in Primary and Secondary Education

Download as PDF

DOI: 10.23977/jaip.2024.070317 | Downloads: 61 | Views: 655

Author(s)

Liu Che 1

Affiliation(s)

1 Beijing National Day School, Haidian District, Beijing, 100039, China

Corresponding Author

Liu Che

ABSTRACT

In primary and secondary education, the application of artificial intelligence (AI) technology has brought many conveniences and innovations, but it has also raised concerns about security and privacy protection. To ensure the healthy and sustainable development of AI technology in education, it is necessary to formulate and implement a series of security and privacy protection policies. By formulating and improving relevant laws and regulations, strengthening network security protection, implementing data anonymization, and providing user exit options, we can ensure the safe, fair, and transparent use of AI technology. Only in this way can we truly play the positive role of AI technology in the field of education while protecting the privacy rights and interests of students.

KEYWORDS

Artificial Intelligence; Public Policy; Large Model; education Security and Privacy Protection

CITE THIS PAPER

Liu Che, Research on Security and Privacy Protection Policies of Artificial Intelligence in Primary and Secondary Education. Journal of Artificial Intelligence Practice (2024) Vol. 7: 141-145. DOI: http://dx.doi.org/10.23977/jaip.2024.070317.

REFERENCES

[1] Alkaeed M, Qayyum A, Qadir J. Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey[J]. Journal of Network and Computer Applications, 2024, 2-3
[2] Bárcena C L J, Ducange P, Marcelloni F, et al. Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees[J]. Information Fusion, 2025, 1-4. 
[3] Ferdowsi M, Hasan M M, Habib W. Responsible AI for cardiovascular disease detection: Towards a privacy-preserving and interpretable model. [J]. Computer methods and programs in biomedicine, 2024, 3-5. 
[4] K N, P V. Federated Learning in Healthcare: A Privacy Preserving Approach. [J]. Studies in health technology and informatics, 2022, 3-4. 
[5] Jegadeesan, Subramani, Obaidat, et al. Efficient privacy-preserving anonymous authentication scheme for human predictive online education system[J]. Cluster Computing, 2021, (prepublish):1-3
[6] Korn F M, Filipe L N, Robyn D G, et al. Digital Education for the Deployment of Artificial Intelligence in Health Care. [J]. Journal of medical Internet research, 2023, 25 2-3
[7] AL-Ghamdi A S A, Ragab M, 234. Artificial Intelligence Techniques Based Learner Authentication in Cybersecurity Higher Education Institutions[J]. Computers, Materials & Continua, 2022, 72(2):1-2.

Downloads: 13270
Visits: 375984

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.