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A Worldwide Bibliometric Analysis of Publications on Artificial Intelligence and Ethics in the Past Seven Decades

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  • Chien-Wei Chuang

    (Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan
    Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242062, Taiwan
    These authors contributed equally to this work.)

  • Ariana Chang

    (Interdisciplinary Studies Program, Fu Jen Catholic University, New Taipei City 242062, Taiwan
    These authors contributed equally to this work.)

  • Mingchih Chen

    (Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan
    Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242062, Taiwan)

  • Maria John P. Selvamani

    (School of Medicine, Fu Jen Catholic University, New Taipei City 242062, Taiwan
    Fu Jen Academia Catholica, Fu Jen Catholic University, New Taipei City 242062, Taiwan)

  • Ben-Chang Shia

    (Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan
    Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242062, Taiwan)

Abstract

Issues related to artificial intelligence (AI) and ethics have gained much traction worldwide. The impact of AI on society has been extensively discussed. This study presents a bibliometric analysis of research results, citation relationships among researchers, and highly referenced journals on AI and ethics on a global scale. Papers published on AI and ethics were recovered from the Microsoft Academic Graph Collection data set, and the subject terms included “artificial intelligence” and “ethics.” With 66 nations’ researchers contributing to AI and ethics research, 1585 papers on AI and ethics were recovered, up to 5 July 2021. North America, Western Europe, and East Asia were the regions with the highest productivity. The top ten nations produced about 94.37% of the wide variety of papers. The United States accounted for 47.59% (286 articles) of all papers. Switzerland had the highest research production with a million-person ratio (1.39) when adjusted for populace size. It was followed by the Netherlands (1.26) and the United Kingdom (1.19). The most productive authors were found to be Khatib, O. (n = 10), Verner, I. (n = 9), Bekey, G. A. (n = 7), Gennert, M. A. (n = 7), and Chatila, R., (n = 7). Current research shows that research on artificial intelligence and ethics has evolved dramatically over the past 70 years. Moreover, the United States is more involved with AI and ethics research than developing or emerging countries.

Suggested Citation

  • Chien-Wei Chuang & Ariana Chang & Mingchih Chen & Maria John P. Selvamani & Ben-Chang Shia, 2022. "A Worldwide Bibliometric Analysis of Publications on Artificial Intelligence and Ethics in the Past Seven Decades," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11125-:d:907718
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    References listed on IDEAS

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    1. James Zou & Londa Schiebinger, 2018. "AI can be sexist and racist — it’s time to make it fair," Nature, Nature, vol. 559(7714), pages 324-326, July.
    2. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    3. Simona Fiandrino & Francesco Scarpa & Riccardo Torelli, 2022. "Fostering Social Impact Through Corporate Implementation of the SDGs: Transformative Mechanisms Towards Interconnectedness and Inclusiveness," Journal of Business Ethics, Springer, vol. 180(4), pages 959-973, November.
    4. Singh, Shiwangi & Dhir, Sanjay & Das, V. Mukunda & Sharma, Anuj, 2020. "Bibliometric overview of the Technological Forecasting and Social Change journal: Analysis from 1970 to 2018," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. Zhang, Yi & Zhang, Guangquan & Chen, Hongshu & Porter, Alan L. & Zhu, Donghua & Lu, Jie, 2016. "Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 179-191.
    6. Karen Castañeda & Omar Sánchez & Rodrigo F. Herrera & Guillermo Mejía, 2022. "Highway Planning Trends: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-33, May.
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