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Mapping the intersection of ethics, AI, and higher education: a bibliometric approach

Rustian Akbar Gunadi (1), Babang Robandi (2),
(1) Universitas Pendidikan Indonesia  Indonesia
(2) Universitas Pendidikan Indonesia  Indonesia

Corresponding Author


DOI : https://doi.org/10.29210/020254242

Full Text:    Language : en

Abstract


This bibliometric study systematically maps the intersection of ethics, artificial intelligence (AI), and higher education using data sourced from the Scopus database and analyzed through bibliometric tools such as VOSviewer and CiteSpace. The analysis reveals a notable increase in publication trends since 2019, with major contributions from Springer Nature and leading institutions such as University College London and the University of Oxford. Keyword co-occurrence analysis identifies central themes such as "artificial intelligence," "machine learning," and "ethical technology," reflecting a growing research emphasis on human-centered AI applications and the need for robust ethical frameworks. Unlike previous studies that largely focused on conceptual discussions, this study quantitatively maps the global research landscape and highlights emerging thematic areas, including recent topics like "ChatGPT" and "generative AI." The findings provide practical insights for curriculum development and higher education policy, while also contributing to the broader discourse on ethical frameworks for the implementation of AI in academic settings.

Keywords


Ethics; Artificial Intelligence (AI); Higher Education; Bibliometric Analysis; Research Trends

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