AI-driven innovation in smart city governance: achieving human-centric and sustainable outcomes

Purpose – This paper aims to explore the integration of artificial intelligence (AI) in smart cities (SC) as a key aspect of enhancing urban governance and achieving the UN's Sustainable Development Goals (SDGs). This integration presents significant opportunities and certain risks that require careful and proportionate management. Design/methodology/approach – Adopting a multidisciplinary approach, and using a hierarchical impact assessment method, this study suggests how to measure the impact of AI-enhanced SC projects on ethical principles throughout respective projects’ life cycle. Having outlined a typology of SC applications, and having matched them with specific AI models, this paper develops and applies an analytical framework that serves as a valuable tool for monitoring ethical aspects of AI-based projects implemented in SC. Findings – The study presents a descriptive model and a single visual scheme that synthesize the analytical framework. These tools provide support to public and private stakeholders, including citizens, NGOs and academic and research institutes by offering a unified method to assess and understand the ethical implications of complex SC systems. Through a hierarchical approach, the study aggregates the impacts of child nodes at each layer. Originality/value – The study's contribution consists in the introduction of a comprehensive analytical framework that enables a structured assessment of ethical implications in AI-enhanced SC projects. By providing a clear approach for monitoring ethical impacts, the research fills a gap in literature as well as in practice as regards responsible and ethical use of AI in urban governance.