A BIBLIOMETRIC ANALYSIS OF AI LITERACY: TRENDS, TOPICS AND FUTURE DIRECTIONS

Abstract

This study investigates the rapidly growing field of Artificial Intelligence (AI) literacy by conducting a bibliometric analysis of 608 publications (364 articles and 244 conference papers) retrieved from Scopus, spanning 2016 to 2024. AI literacy reflects the essential knowledge and skills needed to understand, engage with, and critically evaluate AI technologies. The analysis examines trends in publication frequency, prominent authors and institutions, and influential works shaping the field. It explores thematic developments, such as the rise of ChatGPT, generative AI, and ethical considerations, highlighting the interdisciplinary nature of AI literacy across education, technology, ethics, and social sciences. Findings reveal the exponential growth of AI literacy research, driven by the increasing reliance on AI systems in education and society. Key themes include AI education, machine learning, and explainable AI, alongside ethical challenges like data privacy and algorithmic bias. However, gaps remain, such as a lack of comprehensive mapping and limited focus on niche topics like behavioral intentions and social good. This study provides a detailed overview of the field’s evolution, contributing to future research directions and emphasizing AI literacy’s critical role in addressing technological and societal challenges.