A Study on the Role of Higher Education and Human Resources Development for Data Driven AI Society

Ji Hun Lim; Jeong Eun Seo; Jun Hyuk Choi; Hun Yeong Kwon

doi:10.1007/978-3-031-19608-9_9

A Study on the Role of Higher Education and Human Resources Development for Data Driven AI Society

Ji Hun Lim, Jeong Eun Seo, Jun Hyuk Choi, Hun Yeong Kwon

School of Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Data-based AI technology is bringing many benefits to our society. However, artificial intelligence using vast amounts of data can pose numerous risks. For this reason, ethical artificial intelligence is needed. In recent years, the international community has made efforts to enact artificial intelligence ethics principles, but there has been a lack of concrete measures to implement them. We were interested in higher education as a way to share and practice the ethical values that artificial intelligence society should have. This paper attempted to investigate and analyze the educational status of higher education institutions that train AI experts. To this end, we investigated the artificial intelligence ethics education curriculum of 28 universities in 10 countries. Each education method was classified into three types, and we analyzed its characteristics. Finally, this paper pointed out the problem of artificial intelligence ethics education in higher education and suggested the educational methods to be taken in the future.

Original language	English
Title of host publication	Big Data, Cloud Computing, and Data Science Engineering
Editors	Roger Lee
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	107-118
Number of pages	12
ISBN (Print)	9783031196072
DOIs	https://doi.org/10.1007/978-3-031-19608-9_9
Publication status	Published - 2023
Event	7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022 - Danang, Viet Nam Duration: 2022 Aug 4 → 2022 Aug 6

Publication series

Name	Studies in Computational Intelligence
Volume	1075
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022
Country/Territory	Viet Nam
City	Danang
Period	22/8/4 → 22/8/6

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

AI ethics
Data ethics
Higher education
Human resources development
Professional ethics

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.1007/978-3-031-19608-9_9

Cite this

Lim, J. H., Seo, J. E., Choi, J. H., & Kwon, H. Y. (2023). A Study on the Role of Higher Education and Human Resources Development for Data Driven AI Society. In R. Lee (Ed.), Big Data, Cloud Computing, and Data Science Engineering (pp. 107-118). (Studies in Computational Intelligence; Vol. 1075). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-19608-9_9

A Study on the Role of Higher Education and Human Resources Development for Data Driven AI Society. / Lim, Ji Hun; Seo, Jeong Eun; Choi, Jun Hyuk et al.
Big Data, Cloud Computing, and Data Science Engineering. ed. / Roger Lee. Springer Science and Business Media Deutschland GmbH, 2023. p. 107-118 (Studies in Computational Intelligence; Vol. 1075).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lim, JH, Seo, JE, Choi, JH & Kwon, HY 2023, A Study on the Role of Higher Education and Human Resources Development for Data Driven AI Society. in R Lee (ed.), Big Data, Cloud Computing, and Data Science Engineering. Studies in Computational Intelligence, vol. 1075, Springer Science and Business Media Deutschland GmbH, pp. 107-118, 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022, Danang, Viet Nam, 22/8/4. https://doi.org/10.1007/978-3-031-19608-9_9

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A Study on the Role of Higher Education and Human Resources Development for Data Driven AI Society

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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