IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05209259.html
   My bibliography  Save this paper

IT Professionals Trust in Artificial Intelligence vs. Human Experts for Achieving Sustainable Development Goals

Author

Listed:
  • Dejan Glavas

    (ESSCA School of Management, Paris)

  • Gilles Grolleau

    (ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School)

  • Naoufel Mzoughi

    (ECODEVELOPPEMENT - Ecodéveloppement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

This study investigates trust of information technology (IT) professionals in artificial intelligence (AI), human experts, and their combination for achieving Sustainable Development Goals (SDGs). Through a survey of IT project managers and frequent AI users across France, the United Kingdom, and Belgium, our findings reveal that respondents place significantly higher trust in human experts and combinations of AI and human expertise, compared to AI. Notably, individuals who most frequently use AI technology show stronger preference for human-AI collaborative approaches, suggesting that familiarity with AI leads to better understanding of its complementary role with human expertise. The study demonstrates that successful AI implementation for achieving SDGs requires careful integration with human oversight rather than standalone deployment.

Suggested Citation

  • Dejan Glavas & Gilles Grolleau & Naoufel Mzoughi, 2025. "IT Professionals Trust in Artificial Intelligence vs. Human Experts for Achieving Sustainable Development Goals," Post-Print hal-05209259, HAL.
    • Handle: RePEc:hal:journl:hal-05209259
    DOI: 10.1016/j.sftr.2025.101153
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-05209259v1
    as

    Download full text from publisher

    File URL: https://hal.inrae.fr/hal-05209259v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.sftr.2025.101153?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    2. Aurelia Tamò‐Larrieux & Clement Guitton & Simon Mayer & Christoph Lutz, 2024. "Regulating for trust: Can law establish trust in artificial intelligence?," Regulation & Governance, John Wiley & Sons, vol. 18(3), pages 780-801, July.
    3. Michele Lalla, 2017. "Fundamental characteristics and statistical analysis of ordinal variables: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 435-458, January.
    4. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    5. Yang, Siying & Liu, Fengshuo, 2024. "Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system," Ecological Economics, Elsevier, vol. 216(C).
    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. Kim, Myung Ja & Hall, C. Michael & Kwon, Ohbyung & Sohn, Kwonsang, 2024. "Space tourism: Value-attitude-behavior theory, artificial intelligence, and sustainability," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    2. Zhang, Cong & Yang, Jianhua, 2024. "Artificial intelligence and corporate ESG performance," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    3. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Podrecca, Matteo & Culot, Giovanna & Tavassoli, Sam & Orzes, Guido, 2024. "Artificial intelligence for climate change: a patent analysis in the manufacturing sector," Papers in Innovation Studies 2024/12, Lund University, CIRCLE - Centre for Innovation Research.
    5. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
    6. Qiang Wang & Fuyu Zhang & Rongrong Li, 2025. "Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 1136-1156, February.
    7. Mancuso, Ilaria & Petruzzelli, Antonio Messeni & Panniello, Umberto & Vaia, Giovanni, 2025. "The bright and dark sides of AI innovation for sustainable development: Understanding the paradoxical tension between value creation and value destruction," Technovation, Elsevier, vol. 143(C).
    8. Tekic, Zeljko & Tekic, Anja, 2024. "Complex patterns of ICTs' effect on sustainable development at the national level: The triple bottom line perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    9. Manoranjan Mishra & Sudarsan Desul & Celso Augusto Guimarães Santos & Shailendra Kumar Mishra & Abu Hena Mustafa Kamal & Shreerup Goswami & Ahmed Mukalazi Kalumba & Ramakrishna Biswal & Richarde Marqu, 2024. "A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 11101-11143, May.
    10. Dian, Jie & Li, Shanmin & Song, Tian, 2025. "Achieving the synergy of pollution and carbon emission reductions: Can artificial intelligence applications work?," China Economic Review, Elsevier, vol. 91(C).
    11. Dr. Chris Daniel Wong & Dr. Nicole Foo & Dr. Stephen T. Homer & Dr. Chua Keng Soon & Dr. Soon Ee Hooi, 2025. "AI Unlocking the Potential of NGOs," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 5184-5197, July.
    12. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    13. Xi Liu & Yugang He & Renhong Wu, 2024. "Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries," Energies, MDPI, vol. 17(2), pages 1-21, January.
    14. Jinyi Li & Zhen Liu & Guizhong Han & Peter Demian & Mohamed Osmani, 2024. "The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
    15. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    16. Martins, Flavio Pinheiro & De-León Almaraz, Sofía & Botelho Junior, Amilton Barbosa & Azzaro-Pantel, Catherine & Parikh, Priti, 2024. "Hydrogen and the sustainable development goals: Synergies and trade-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
    17. Fabian Dvorak & Regina Stumpf & Sebastian Fehrler & Urs Fischbacher, 2024. "Generative AI Triggers Welfare-Reducing Decisions in Humans," Papers 2401.12773, arXiv.org.
    18. Sergio Genovesi & Julia Maria Mönig, 2022. "Acknowledging Sustainability in the Framework of Ethical Certification for AI," Sustainability, MDPI, vol. 14(7), pages 1-10, March.
    19. Abdelhamid Zaidi & Samuel-Soma M. Ajibade & Majd Musa & Festus Victor Bekun, 2023. "New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 287-299, July.
    20. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.

    More about this item

    Keywords

    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:journl:hal-05209259. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.