Call for papers: Ethical Use of Artificial Intelligence in the Construction Industry
Call for papers: Ethical Use of Artificial Intelligence in the Construction Industry

Ethical Use of Artificial Intelligence in the Construction Industry

Introduction
The application of artificial intelligence (AI) in the construction industry has undergone a rapid transformation in recent years and is now taking place alongside the advancements of data analytics, automation, and intelligent decision-support systems. The industry is slowly but surely adopting AI-based tools for various purposes such as design, planning, project management, risk assessment, and operational optimisation. The built environment thus stands to gain a lot in terms of efficiency, sustainability, and safety. However, the ethical implications of AI in construction remain a largely unexplored and misunderstood area of research, notwithstanding the opportunities that come along with it.
To date, the discussions around the ethics of AI have mainly revolved around the fields of finance, healthcare, and policy—these are the areas where the ethical challenges remain the most controversial, and the need for regulation is the highest, as seen in the enactment of the EU AI Act. On the other hand, the construction industry is only beginning to face such ethical dilemmas because of its unique traits and the still-new application of AI. The Research Lab of PhD Assistance is thus geared toward researchers drawing upon such calls for papers by providing help with the structuring of their work and making it ethically sound and backed by the policy as well as ready for publication and in line with the expectations of the journals.
Scope
The guest editors are looking for contributions to the project that will not only identify but also propose ways to overcome the ethical issues at different levels—technological, organisational, regulatory, and societal—that are related to the use of AI in the construction sector. The special issue will provide a platform for sharing ideas and experiences in the areas of transparency, accountability, inclusiveness, and workforce changes. Papers posted for consideration can take on various forms of conceptual, empirical, regulatory, or interdisciplinary practices that will pave the way to the establishment of moral guidelines for the application of AI in construction systems.
The issue at hand is significant, since the foundation of the overall project in question will depend heavily on the ethical standards imposed by the construction industry concerning the adoption of AI technologies. In addition to this main line of argument, this editorial will also attempt to justify the proposal of the special issue from a few other perspectives, such as the role of ethical governance in AI-enabled systems and the necessity for the construction sector to be more socially responsible.
Know More About This Issue
With the evolution of AI and its subsequent integration into construction workflows, the moral issues connected with trust, data governance, responsibility, and human–AI collaboration are on top of the list. Intelligent systems that can independently make decisions and learn pose profound ethical dilemmas around privacy, responsibility, discrimination, and the repartition of the workforce roles in the construction sector. The introduction of world models and agentic AI contributes even more to the need for ethical supervision, as such systems might be the ones who decide about planning, execution, and even safety-critical matters.
This special issue invites a critical examination of the ethical aspects of AI in construction, where the ideas of innovation and responsibility are weighed against each other. The issue aims at keeping the industry practitioners, policymakers, and researchers informed about the methods of bringing ethical values into the AI applications related to the construction sector, thus facilitating a digital transformation that is sustainable, transparent, and socially responsible.
Key Themes
  • Governance and regulatory frameworks for AI in construction
  • Transparency and trust in AI-enabled construction systems
  • Privacy, security, ownership, and liability of construction data
  • Biases, fairness, and inclusivity in AI-driven decision-making
  • Workforce impact and human–AI collaboration in construction
  • Agentic AI and world models in the built environment
    • Journal Guidelines:
  • Author Submissions must be entirely original pieces of writing that have never been published before and are not simultaneously being considered for publication by another journal.
  • The submitted Manuscripts should correspond to the objectives and scope of the journal Artificial Intelligence for a Sustainable Built Environment.
  • All co-authors mentioned must have contributed significantly to the research; others who have helped should be acknowledged.
  • AI tools should not be declared as authors; if AI has been used for copy-editing or language improvement, it should be explicitly stated.
  • Authors are responsible for the correctness, completeness, and ethical standards of their work.
  • Ethics approval and consent procedures for human participants must be detailed in the manuscript if applicable.
  • The word limit for the manuscript is 6,000–9,000, Microsoft Word format is required, and a structured abstract is mandatory.
  • The reference list should comply with the Harvard referencing style as per Emerald’s guidelines.
    • Important Dates
    Date for abstract submission: 15 July 2027 Date for manuscript submission: 15 September 2026 To ensure successful and timely submission to the special issue “Ethical Use of Artificial Intelligence in the Construction Industry,” researchers are encouraged to leverage the expert services of the PhD Assistance Research Lab, offering comprehensive support from conceptualisation to final manuscript submission within the specified deadline.
    Reference

    Emerald Publishing. (n.d.). Author guidelines and publishing ethics for Artificial Intelligence for a Sustainable Built Environment. Emerald Publishing.
    https://www.emeraldgrouppublishing.com/journal/aisbe

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