How to Educate AI Thinking, AI Literacy, and AI Literature?

Abstract

This paper focuses on how to AI Thinking, AI literacy, and AI literature.Currently, technology of the biggest impact on everywhere is AI and its related topics including ChatGPT.AI and ChatGPT is giving an influence on many areas, job pattern, workface, and so on.This paper describes on how much importance to educate AI, AI literacy, and AI literature because the nature of working and the range of activities by AI have been changing.As AI Thinking is that relevant to users of AI systems such as, choosing inputs, working with outputs, AI developers (design and implementation of AI technologies), AI related managers (determining the platforms and organizational practices AI for use), policymakers (government and organization), and data (data for the use of AI), it is quite important for students and higher education, professionals and the public people.Because AI Thinking has a multi-purpose meaning about various aspects of AI user and it has a wide range of the management, the production, the training, and use of AI systems, it is absolutely needed to educate systematically to understand and learn with literature (this paper call as AI literature).Without introducing literature, the education of AI Thinking and AI literacy cannot implement.Through education, AI Thinking should provide guidance training as well as self-learning in professional, and structure and guidance for interdisciplinary AI teams (management and collaboration, evaluation) for industrial practice.AI Thinking should be recognized as an element of AI literacy, at least for practicebased education and professional experts.It is also important to distinguish, learn, and educate AI Thinking focused on AI practice, methodological, and context from more general-purpose AI literacy and more extended AI literature.

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