Artificial intelligence ethics in municipal and construction sectors: A literature review
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Abstract
Artificial intelligence (AI) technologies are increasingly used to improve the efficiency of public services such as building permit approvals, zoning management, and infrastructure inspections. However, this rapid integration has raised ethical concerns related to algorithmic bias, transparency, accountability, and data privacy. For example, automated zoning systems may inadvertently prioritize certain areas owing to biased data inputs. This paper presents a systematic literature review and bibliometric analysis focused on ethical AI frameworks in municipal and construction-related services, particularly focusing on the United Arab Emirates (UAE), where smart city initiatives are rapidly advancing. The review followed preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and drew on 102 peer-reviewed articles from Scopus, IEEE Xplore, and EBSCOhost using keywords such as “AI ethics”, “smart cities”, and “public services”. The analysis highlights recurring ethical gaps in existing global frameworks, including limited adaptability to local cultural and regulatory environments. Drawing from best practices in the European Union Artificial Intelligence Act, Organisation for Economic Co-operation and Development Artificial Intelligence Principles, and Institute of Electrical and Electronics Engineers Artificial Intelligence Ethics Guidelines, this study proposed a culturally sensitive governance framework tailored to the UAE context. The framework offers guidance for implementing ethical audits, transparency standards, and citizen feedback mechanisms. The findings provide actionable insights for policymakers—such as the development of regulatory sandboxes—and industry stakeholders deploying AI in construction-related municipal services. This study supported the development of responsible AI practices that align with both global ethical standards and local governance needs, ultimately contributing to more trustworthy smart city services.
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