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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationBig Data, Cloud Computing, and Data Science Engineering
EditorsRoger Lee
PublisherSpringer Science and Business Media Deutschland GmbH
Pages107-118
Number of pages12
ISBN (Print)9783031196072
DOIs
Publication statusPublished - 2023
Event7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022 - Danang, Viet Nam
Duration: 2022 Aug 42022 Aug 6

Publication series

NameStudies in Computational Intelligence
Volume1075
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022
Country/TerritoryViet Nam
CityDanang
Period22/8/422/8/6

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

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