Bibliometric insights into artificial intelligence’s ethical and social dynamics

This present bibliometric study aims to evaluate the extent of knowledge on the ethical and social aspects of artificial intelligence (AI) based on publications to be published within 2014-2024. Therefore, the present paper identifies some of the largest and most pressing trends and problems in the field of AI ethics and its social impact based on the analysis of 234 publications retrieved from the Scopus database. After analyzing the result of the literature review of the hereby presented publications, it is possible to state that the number of publications has been gradually increasing in the recent years and it can be linked to the interest and research activities. They focus on the beautiful things and the main tasks of a researcher within the given topic of interest. A similar observation made during the authorship analysis had to do with the fact that scholars and research groups have been the ones proactively building the AI ethics. From a geographical perspective, it expounds on the nations that are participating and have crucial engagement in the study area within this domain. This study also considers several aspects like is it more about the relative frequency in the cited journals to AI ethics and universities that are more organizationally involved. Consequently, this bibliometric analysis aims at offering an overview of the current state of knowledge regarding the ethical and social implications of AI. Therefore, the present work contributes to the. As has been seen, results from qualitative studies enrich the body of literature extending the current quantitative analysis in the related field. © 2025 by authors.

Авторы
Korobkova Oksana K. 1 , Masalimova Alfiya Rafisovna 2 , Chistyakov Alexey A. 3 , Chudnovskiy Alexey D. 4 , Zhukova Marina A. 4 , Zhukov Vadim A. 4 , Irismetov Alisher I. 5
Номер выпуска
4
Язык
Английский
Статус
Опубликовано
Номер
e202539
Том
15
Год
2025
Организации
  • 1 Pacific National University, Khabarovsk, Khabarovsk Krai, Russian Federation
  • 2 Kazan Federal University, Kazan, Tatarstan Republic, Russian Federation
  • 3 RUDN University, Moscow, Moscow Oblast, Russian Federation
  • 4 The State University of Management, Moscow, Russian Federation
  • 5 Kazan National Research Technological University, Kazan, Tatarstan Republic, Russian Federation
Ключевые слова
artificial intelligence; bibliometric analysis; ethical implications; social implications
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