Proceedings of the 2019 International Conference on Advanced Education Research and Modern Teaching (AERMT 2019)

Ethical Challenges Faced by Students in the Educational Environment of Artificial Intelligence

Authors
Zhonghua Wang, Jing Zhai
Corresponding Author
Jing Zhai
Available Online October 2019.
DOI
https://doi.org/10.2991/aermt-19.2019.1How to use a DOI?
Keywords
artificial intelligence, ethics, students, information technology
Abstract
With the development of new generation information technology, human society is entering the era of artificial intelligence, and the application of artificial intelligence has gradually entered the field of education. As the main body of teaching, information technology is applied to education to bring convenience to students' learning and promote students' learning on one hand. On the other hand, it also has some ethical problems that hinder the development of students. Firstly, this work discussed the ethical issues in the application of artificial intelligence in education, and then analyzed the ethical crisis phenomenon generated by artificial intelligence from different aspects; finally, put forward some suggestions for the development of artificial intelligence education applications. Artificial intelligence builders should strengthen the protection of personal data to ensure the privacy of users; students should consciously improve their core literacy, scientific literacy, and humanistic literacy, improve their abilities, and then better enjoy the artificial intelligence.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Zhonghua Wang
AU  - Jing Zhai
PY  - 2019/10
DA  - 2019/10
TI  - Ethical Challenges Faced by Students in the Educational Environment of Artificial Intelligence
BT  - Proceedings of the 2019 International Conference on Advanced Education Research and Modern Teaching (AERMT 2019)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2352-5398
UR  - https://doi.org/10.2991/aermt-19.2019.1
DO  - https://doi.org/10.2991/aermt-19.2019.1
ID  - Wang2019/10
ER  -