Short Papers
AI Literacy: Definition, Teaching, Evaluation and Ethical Issues
Davy Tsz Kit Ng,
Jac Ka Lok Leung,
Kai Wah Samuel Chu,
Maggie Shen Qiao,
Corresponding Author
Davy Tsz Kit Ng
Faculty of Education, University of Hong Kong, China
Email: [email protected]
Search for more papers by this authorJac Ka Lok Leung
Faculty of Education, University of Hong Kong, China
Search for more papers by this authorKai Wah Samuel Chu
Faculty of Education, University of Hong Kong, China
Search for more papers by this authorMaggie Shen Qiao
Faculty of Education, University of Hong Kong, China
Search for more papers by this authorDavy Tsz Kit Ng,
Jac Ka Lok Leung,
Kai Wah Samuel Chu,
Maggie Shen Qiao,
Corresponding Author
Davy Tsz Kit Ng
Faculty of Education, University of Hong Kong, China
Email: [email protected]
Search for more papers by this authorJac Ka Lok Leung
Faculty of Education, University of Hong Kong, China
Search for more papers by this authorKai Wah Samuel Chu
Faculty of Education, University of Hong Kong, China
Search for more papers by this authorMaggie Shen Qiao
Faculty of Education, University of Hong Kong, China
Search for more papers by this authorAbstract
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.
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