IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11125-d907718.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11125/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/18/11125/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    2. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Dana, Léo-Paul, 2022. "Religion as a social shaping force in entrepreneurship and business: Insights from a technology-empowered systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Vyddiyaratnam Pathmanandakumar & Sheeba Nettukandy Chenoli & Hong Ching Goh, 2021. "Linkages between Climate Change and Coastal Tourism: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    4. Ashraf, Rohail & Khan, Muhammad Asif & Khuhro, Rafique Ahmed & Bhatti, Zeeshan Ahmed, 2022. "Knowledge creation dynamics of technological forecasting and social change special issues," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    5. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. Alexandru Constantin Ciobanu & Gabriela Meè˜Nièšä‚, 2021. "Ai Ethics In Business €“ A Bibliometric Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 28, pages 169-202, December.
    7. Tingcan Ma & Ruinan Li & Guiyan Ou & Mingliang Yue, 2018. "Topic based research competitiveness evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 789-803, November.
    8. Jan Wiers & Didier Chabaud, 2022. "Bibliometric analysis of immigrant entrepreneurship research 2009–2019," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 12(1), pages 441-464, December.
    9. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    10. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    11. Tajana Čop & Mario Njavro, 2022. "Application of Discrete Choice Experiment in Agricultural Risk Management: A Review," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    12. Stefan Feuerriegel & Mateusz Dolata & Gerhard Schwabe, 2020. "Fair AI," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 379-384, August.
    13. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    14. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    15. Dzintra Atstāja & Kevin Wilclif Mukem, 2024. "Sustainable Supply Chain Management in the Oil and Gas Industry in Developing Countries as a Part of the Quadruple Helix Concept: A Systematic Literature Review," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
    16. Feras A. Batarseh & Munisamy Gopinath & Anderson Monken, 2020. "Artificial Intelligence Methods for Evaluating Global Trade Flows," International Finance Discussion Papers 1296, Board of Governors of the Federal Reserve System (U.S.).
    17. Ying Liang & Wei Song, 2022. "Ecological and Environmental Effects of Land Use and Cover Changes on the Qinghai-Tibetan Plateau: A Bibliometric Review," Land, MDPI, vol. 11(12), pages 1-23, November.
    18. Luiz Almeida & Ana Soares & Pedro Moura, 2023. "A Systematic Review of Optimization Approaches for the Integration of Electric Vehicles in Public Buildings," Energies, MDPI, vol. 16(13), pages 1-26, June.
    19. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    20. Satish Kumar & Filomena Maggino & Raj V. Mahto & Riya Sureka & Leonardo Salvatore Alaimo & Weng Marc Lim, 2022. "Social Indicators Research: A Retrospective Using Bibliometric Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 413-448, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11125-:d:907718. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.