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There has been a growing environmental concern related to artificial intelligence (AI) and the need to optimize AI models for greater energy efficiency and reduced carbon emissions. This study analysed the key contributors, institutions, countries, journals, collaborations and current developments in this field. By analyzing 385 articles published between 2016 and 2024, retrieved from the Web of Science database, and utilizing tools like Microsoft Excel and VOSviewer, the study provides a global review of Green AI research, with a particular focus on Africa. The findings reveal a rise in Green AI research since 2020, with the USA leading in research output and international collaboration, while African countries ranked low. Key themes include energy efficiency, carbon footprint reduction, and the development of sustainable AI models.

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Assessing the Research Scene of Green AI via Bibliometric Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Michael Rabiu Abdulmalik,
  • Ebuka Ibeke,
  • Chinedu Pascal Ezenkwu,
  • Celestine Iwendi

摘要

There has been a growing environmental concern related to artificial intelligence (AI) and the need to optimize AI models for greater energy efficiency and reduced carbon emissions. This study analysed the key contributors, institutions, countries, journals, collaborations and current developments in this field. By analyzing 385 articles published between 2016 and 2024, retrieved from the Web of Science database, and utilizing tools like Microsoft Excel and VOSviewer, the study provides a global review of Green AI research, with a particular focus on Africa. The findings reveal a rise in Green AI research since 2020, with the USA leading in research output and international collaboration, while African countries ranked low. Key themes include energy efficiency, carbon footprint reduction, and the development of sustainable AI models.