From Data Literacy to Artificial Intelligence: A Review of Critical Competencies in the Digital Age
DOI:
https://doi.org/10.5281/zenodo.18213721Keywords:
Information literacy, Data literacy, AI literacy, Information access systemsAbstract
This review study explores the relationship between data literacy and artificial intelligence (AI) literacy, based on academic literature published between 2010 and 2025. The aim of the study is to analyze the intersections between these two concepts, how they complement each other, and their significance for individuals and institutions in the digital age. As digitalization accelerates, the ability of individuals and institutions to make data-driven decisions, interpret algorithmic systems, and develop ethical awareness has expanded the scope of both data literacy and AI literacy. The study focuses on the intersection of these two literacies, particularly in educational settings and user-centered AI applications. The literature shows that AI literacy goes beyond technical knowledge, encompassing critical thinking, ethical sensitivity, and transparency. Moreover, it emphasizes that individuals need strong data literacy skills to understand and use AI systems effectively and responsibly. This study highlights the need for comprehensive educational policies and assessment tools to enhance digital literacy competencies in the age of AI.
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