Review Article

Ethical and Responsible AI in Engineering and Construction Projects: Governance, Trust, and Human-Centered Design

Authors

Abstract

Using Artificial Intelligence (AI) in engineering and construction projects promises greater efficiency, design optimisation, and enhanced risk management, but it also raises pressing ethical questions surrounding governance, trust, and human-centered design (HCD). This multidisciplinary review critically evaluates the current state of responsible AI deployment in the built environment. Employing a systematic thematic synthesis methodology, the study organises the literature into three core domains: governance structures (e.g., regulatory frameworks and institutional oversight), trust mechanisms (e.g., transparency, explainability, stakeholder engagement), and HCD practices (e.g., participatory design and usability testing). Findings reveal fragmented approaches across these domains and tensions between rapid technical innovation and ethical imperatives. The synthesis highlights that ethical AI in construction requires context-specific governance, structured trust-building mechanisms, and user-value-driven design processes. Based on these insights, the article proposes an integrative framework for policymakers, engineering firms, and AI tool developers, and outlines a future research agenda emphasising real-world fieldwork, participatory pilots, and cross-jurisdictional policy studies. Ultimately, the review underscores the importance of embedding ethics across the AI lifecycle to ensure socially responsible, human-centred transformation in engineering and construction.

Keywords:

AI Governance Construction Ethics Engineering Innovation Human-Centered Design Responsible AI Trust in AI

Article information

Journal

Scientific Journal of Engineering, and Technology

Volume (Issue)

2(2), (2025)

Pages

53-62

Published

12-08-2025

How to Cite

Shehu, H., Ogunleye, E., Atilola, M. O., Eromosele, E. I., Lawal, A. B., & Chukwuma, T. T. (2025). Ethical and Responsible AI in Engineering and Construction Projects: Governance, Trust, and Human-Centered Design. Scientific Journal of Engineering, and Technology, 2(2), 53-62. https://doi.org/10.69739/sjet.v2i2.833

References

Afroogh, S., Akbari, A., Malone, E., Kargar, M., & Alambeigi, H. (2024). Trust in AI: Progress, challenges, and future directions. Humanities and Social Sciences Communications, 11(1), 1568. https://doi.org/10.1057/s41599-024-04044-8 DOI: https://doi.org/10.1057/s41599-024-04044-8

Agapiou, A. (2024). A Systematic Review of the Socio-Legal Dimensions of Responsible AI and Its Role in Improving Health and Safety in Construction. Buildings, 14(5), Article 5. https://doi.org/10.3390/buildings14051469 DOI: https://doi.org/10.3390/buildings14051469

Bang, S. and Olsson, N. (2022). Artificial Intelligence in Construction Projects: A Systematic Scoping Review. Journal of Engineering, Project, and Production Management, 12(3), 224-238. (n.d.). https://doi.org/10.32738/JEPPM-2022-0021 DOI: https://doi.org/10.32738/JEPPM-2022-0021

Boy, G. A., & Riedel, N. (2009). Participatory Human-Centered Design: User Involvement and Design Cross-Fertilization. In M. Kurosu (Ed.), Human Centered Design (pp. 835–843). Springer. https://doi.org/10.1007/978-3-642-02806-9_96 DOI: https://doi.org/10.1007/978-3-642-02806-9_96

Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., López de Prado, M., Herrera-Viedma, E., & Herrera, F. (2023). Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Information Fusion, 99, 101896. https://doi.org/10.1016/j.inffus.2023.101896 DOI: https://doi.org/10.1016/j.inffus.2023.101896

Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020). Towards Transparency by Design for Artificial Intelligence. Science and Engineering Ethics, 26(6), 3333–3361. https://doi.org/10.1007/s11948-020-00276-4 DOI: https://doi.org/10.1007/s11948-020-00276-4

Hamida, S. U., Chowdhury, M. J. M., Chakraborty, N. R., Biswas, K., & Sami, S. K. (2024). Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications. Big Data and Cognitive Computing, 8(11), Article 11. https://doi.org/10.3390/bdcc8110149 DOI: https://doi.org/10.3390/bdcc8110149

Hatamleh, I. H. M., Safori, A. O., Habes, M., Tahat, O., Ahmad, A. K., Abdallah, R. A.-Q., & Aissani, R. (2023). Trust in Social Media: Enhancing Social Relationships. Social Sciences, 12(7), Article 7. https://doi.org/10.3390/socsci12070416 DOI: https://doi.org/10.3390/socsci12070416

Heller, C., LaFond, A., & Murthy, L. (2021). Methods and Benefits of Measuring Human-Centered Design in Global Health. Global Health: Science and Practice, 9(Suppl 2), S274. https://doi.org/10.9745/GHSP-D-21-00207 DOI: https://doi.org/10.9745/GHSP-D-21-00207

Kajiwara, Y., & Kawabata, K. (2024). AI literacy for ethical use of chatbot: Will students accept AI ethics? Computers and Education: Artificial Intelligence, 6, 100251. https://doi.org/10.1016/j.caeai.2024.100251 DOI: https://doi.org/10.1016/j.caeai.2024.100251

Kassa, B. Y., & Worku, E. K. (2025a). The impact of artificial intelligence on organizational performance: The mediating role of employee productivity. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100474. https://doi.org/10.1016/j.joitmc.2025.100474

Kassa, B. Y., & Worku, E. K. (2025b). The impact of artificial intelligence on organizational performance: The mediating role of employee productivity. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100474. https://doi.org/10.1016/j.joitmc.2025.100474 DOI: https://doi.org/10.1016/j.joitmc.2025.100474

Kim, J., Park, S., Moukhliss, S., Song, K., & Koo, D. (2025). Perceptions of Artificial Intelligence (AI) in the Construction Industry Among Undergraduate Construction Management Students: Case Study—A Study of Future Leaders. Buildings, 15(7), Article 7. https://doi.org/10.3390/buildings15071095 DOI: https://doi.org/10.3390/buildings15071095

Lawal, O., Elechi, K., Adekunle, F., Farinde, O., Kolapo, T., Igbokwe, C., Elechi, U., Victoria, & Chikezie, O. (2025). A Review on Artificial Intelligence and Point-of-Care Diagnostics to Combat Antimicrobial Resistance in Resource-Limited Healthcare Settings like Nigeria: Review Article. Journal of Pharma Insights and Research, 3(2), Article 2. https://doi.org/10.69613/reeh4906 DOI: https://doi.org/10.69613/reeh4906

Lawal, O. P., Igwe, E. P., Olosunde, A., Chisom, E. P., Okeh, D. U., Olowookere, A. K., Adedayo, O. A., Agu, C. P., Mustapha, F. A., Odubo, F., & Orobator, E. T. (2025). Integrating Real-Time Data and Machine Learning in Predicting Infectious Disease Outbreaks: Enhancing Response Strategies in Sub-Saharan Africa. Asian Journal of Microbiology and Biotechnology, 10(1), 147–163. https://doi.org/10.56557/ajmab/2025/v10i19371 DOI: https://doi.org/10.56557/ajmab/2025/v10i19371

Leão, C. P., Silva, V., & Costa, S. (2024). Exploring the Intersection of Ergonomics, Design Thinking, and AI/ML in Design Innovation. Applied System Innovation, 7(4), Article 4. https://doi.org/10.3390/asi7040065 DOI: https://doi.org/10.3390/asi7040065

Madanchian, M., & Taherdoost, H. (2025). Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1619029 DOI: https://doi.org/10.3389/frai.2025.1619029

Merchán-Cruz, E. A., Gabelaia, I., Savrasovs, M., Hansen, M. F., Soe, S., Rodriguez-Cañizo, R. G., & Aragón-Camarasa, G. (2025). Trust by Design: An Ethical Framework for Collaborative Intelligence Systems in Industry 5.0. Electronics, 14(10), Article 10. https://doi.org/10.3390/electronics14101952 DOI: https://doi.org/10.3390/electronics14101952

Mišić, J., van Est, R., & Kool, L. (2025). Good governance of public sector AI: A combined value framework for good order and a good society. AI and Ethics. https://doi.org/10.1007/s43681-025-00751-3 DOI: https://doi.org/10.1007/s43681-025-00751-3

Nastoska, A., Jancheska, B., Rizinski, M., & Trajanov, D. (2025). Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries. Electronics, 14(13), Article 13. https://doi.org/10.3390/electronics14132717 DOI: https://doi.org/10.3390/electronics14132717

Peretz-Andersson, E., Tabares, S., Mikalef, P., & Parida, V. (2024). Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach. International Journal of Information Management, 77, 102781. https://doi.org/10.1016/j.ijinfomgt.2024.102781 DOI: https://doi.org/10.1016/j.ijinfomgt.2024.102781

Perifanis, N.-A., & Kitsios, F. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14(2), Article 2. https://doi.org/10.3390/info14020085 DOI: https://doi.org/10.3390/info14020085

Rashid, A. B., & Kausik, M. A. K. (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277. https://doi.org/10.1016/j.hybadv.2024.100277 DOI: https://doi.org/10.1016/j.hybadv.2024.100277

Ridzuan, N. N., Masri, M., Anshari, M., Fitriyani, N. L., & Syafrudin, M. (2024). AI in the Financial Sector: The Line between Innovation, Regulation and Ethical Responsibility. Information, 15(8), Article 8. https://doi.org/10.3390/info15080432 DOI: https://doi.org/10.3390/info15080432

Ryan, M. (2020). In AI We Trust: Ethics, Artificial Intelligence, and Reliability. Science and Engineering Ethics, 26(5), 2749–2767. https://doi.org/10.1007/s11948-020-00228-y DOI: https://doi.org/10.1007/s11948-020-00228-y

Suo, J., Li, M., Guo, J., & Sun, Y. (2024). Engineering Safety and Ethical Challenges in 2045 Artificial Intelligence Singularity. Sustainability, 16(23), Article 23. https://doi.org/10.3390/su162310337 DOI: https://doi.org/10.3390/su162310337

Sutton, S. G., Arnold, V., & Holt, M. (2018). How Much Automation Is Too Much? Keeping the Human Relevant in Knowledge Work. Journal of Emerging Technologies in Accounting, 15(2), 15–25. https://doi.org/10.2308/jeta-52311 DOI: https://doi.org/10.2308/jeta-52311

Vukicevic, A. M., Petrovic, M., Milosevic, P., Peulic, A., Jovanovic, K., & Novakovic, A. (2024). A systematic review of computer vision-based personal protective equipment compliance in industry practice: Advancements, challenges and future directions. Artificial Intelligence Review, 57(12), 319. https://doi.org/10.1007/s10462-024-10978-x DOI: https://doi.org/10.1007/s10462-024-10978-x

Yang, L., Allen, G., Zhang, Z., & Zhao, Y. (2025). Achieving On-Site Trustworthy AI Implementation in the Construction Industry: A Framework Across the AI Lifecycle. Buildings, 15(1), Article 1. https://doi.org/10.3390/buildings15010021 DOI: https://doi.org/10.3390/buildings15010021

Zhao, J., & Gómez Fariñas, B. (2023). Artificial Intelligence and Sustainable Decisions. European Business Organization Law Review, 24(1), 1–39. https://doi.org/10.1007/s40804-022-00262-2 DOI: https://doi.org/10.1007/s40804-022-00262-2

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