Ethical and social dynamics in artificial intelligence and society: A bibliometric study

Abstract

The study aims to provide a comprehensive bibliometric analysis of the academic literature on artificial intelligence (AI) ethics and social dynamics. Publications between 2020 and 2025 from Web of Science and Scopus databases were examined. The study aims to reveal expose the evolution, patterns, geographic distribution, and multidisciplinary structure of the subject of AI ethics. With an increase of over 100% in both databases, particularly between 2023 and 2024, the results show that the field has displayed fast expansion recently. Though there are variations in production and influence, the USA, the UK, and China dominate the field. Journal analysis shows that the journal “AI & Society” is the most influential publication in both databases. Keyword and thematic analyses show that while “AI”, “ethics” and “machine learning” remain central, new themes such as “ChatGPT” and “generative AI” are on the rise. Author collaboration networks reveal the multidisciplinary nature of the field and the existence of diverse research groups. Differences in coverage between databases suggest that Scopus better represents health sciences and current technological developments, while WoS better represents ethics. This study emphasizes that the research agenda in the field of AI ethics should be more inclusive and based on interdisciplinary collaboration and provides recommendations for future research directions.

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