• Abstract

    The current study provides a comprehensive review of the literature on the influence of Artificial Intelligence (AI) on Social Sustainability, a domain that has received less attention than the environmental and economic aspects of sustainability.  Despite the recent surge in scholarly interest in this field, there is a lack of extensive research that can map the intellectual terrain and identify the research gaps and directions. To address this issue, we analyzed 48 papers from the Scopus database by bibliometric and content analysis methods, and using various tools, such as R software (biblioshiny), VOSviewer software, and Publish or Perish. Findings highlight five key research clusters: ethics in AI, AI and urban sustainability, modern IT and social sustainability, AI and social sustainability dimensions, and ergonomics in AI. The study conducted a thorough content analysis, categorizing articles into: well-being and social sustainability in the supply chain, ethical considerations and smart cities, services in education and remote areas, and AI in business relationships and product design. This paper provides a holistic overview of the current state of the art and discuss the implications and limitations of the existing research.

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Yazdi, A., Nawaser, K., Pezeshgi, S., Mohsenifard, H., & Golamian, E. (2024). Artificial intelligence in social sustainability: A bibliometric and content analysis-based review: . Multidisciplinary Reviews, (| Accepted Articles). Retrieved from https://malque.pub/ojs/index.php/mr/article/view/3705
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