Foundations of AI Literacy

Foundations of AI Literacy

Jatin C. Modh (GLS University, Ahmedabad, India), Tejaskumar P. Bhatt (GLS University, Ahmedabad, India), Darshita Kalyani (GLS University, Ahmedabad, India), and Aakanksha Jain (GLS University, Ahmedabad, India)
Copyright: © 2026 |Pages: 48
DOI: 10.4018/979-8-3373-2297-1.ch002
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Abstract

This chapter introduces the notion of AI literacy and covers its definition, importance, and various facets, such as its technological, ethical, sociological, and creative aspects. It offers a historical view on the development of AI, emphasizing crucial turning points. Additionally, the chapter explores fundamental AI ideas such as robotics, computer vision, natural language processing, machine learning, and deep learning. It also describes the steps involved in developing AI, including gathering data, training models, evaluating them, and deploying them. Lastly, it explores at various types of AI, including rule-based systems, expert systems, and evolutionary algorithms, with a focus on how they might be used in a variety of fields.
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