AI literacy: Definition, teaching, evaluation and ethical issues

Davy Tsz Kit NG, Jac Ka Lok LEUNG, Kai Wah Samuel CHU, Shen QIAO

Research output: Contribution to journalArticlespeer-review

14 Citations (Scopus)

Abstract

Artificial Intelligence (AI) is at the top of the agenda for education leaders today in educating the next generation across the globe. However, public understanding of AI technologies and how to define AI literacy is under-explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly emerging concept “AI literacy”, in search for a sound theoretical foundation to define, teach and evaluate AI literacy. Grounded in literature on 18 existing peer-reviewed articles, this review proposed four aspects (i.e, know and understand, use, evaluate, and ethical issues) for fostering AI literacy based on the adaptation of classic literacies. This study sheds light on the consolidated definition, teaching, and ethical concerns on AI literacy, establishing the groundwork for future research such as competency development and assessment criteria on AI literacy. Copyright © 2021 ASIS&T receives an exclusive publication license.

Original languageEnglish
Pages (from-to)504-509
JournalProceedings of the Association for Information Science and Technology
Volume58
Issue number1
Early online dateOct 2021
DOIs
Publication statusPublished - 2021

Citation

Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509. doi: 10.1002/pra2.487

Keywords

  • AI literacy
  • AI learning and teaching
  • AI in education
  • AI ethics
  • AI literacy questionnaire

Fingerprint

Dive into the research topics of 'AI literacy: Definition, teaching, evaluation and ethical issues'. Together they form a unique fingerprint.