AI Literacy: Definition, Teaching, Evaluation and Ethical Issues

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 l...

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Bibliographic Details
Published in:Proceedings of the ASIST Annual Meeting 2021-10, Vol.58 (1), p.504-509
Main Authors: Ng, Davy Tsz Kit, Leung, Jac Ka Lok, Chu, Kai Wah Samuel, Qiao, Maggie Shen
Format: Article
Language:English
Subjects:
AI ethics
AI in education
AI learning and teaching
AI literacy
AI literacy questionnaire
Artificial intelligence
Ethics
Evaluation
Literacy
Teaching
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Summary: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.
ISSN:2373-9231
2373-9231
1550-8390
DOI:10.1002/pra2.487