AI-Driven Smart Cities in France

Abstract

This integrative literature review critically explores the use of Artificial Intelligence (AI) in developing smart cities across France, focusing on urban efficiency, sustainability, and safety. This study examines the multiple challenges that French towns face when integrating AI technology to become smart cities, concentrating on technological integration, economic limits, data privacy and security, the digital divide, legal and ethical considerations, and public acceptance. This problem impacts urban residents, as it influences their quality of life, access to services, and environmental sustainability, necessitating a balanced approach to technology implementation that considers both benefits and potential social disparities. This study also examines how France's smart city development can use artificial intelligence (AI) to improve sustainability, urban planning, public safety, technological integration, and economic constraints. The guiding conceptual framework of the ILR is based on a combination of Sociotechnical Systems Theory and Diffusion of Innovations Theory, providing a comprehensive perspective on the interplay between technological advancements and social dynamics within urban environments. The research method, design, procedures, and analysis involve an extensive review of existing literature, qualitative analysis of case studies, and interviews with key stakeholders involved in AI-driven urban projects in France. The results of the research question reveal that while AI has the potential to enhance urban living significantly, its success is heavily dependent on addressing integration challenges and ensuring inclusive access to technology. The potential implications of the results and the recommendations for future research and practice emphasize the need for robust policy frameworks, enhanced public-private partnerships, and continuous monitoring of technological impacts to ensure that AI integration supports sustainable and equitable urban development.

Keywords:

Artificial intelligence (AI), Smart cities, France, Sustainability, Urban planning, Public safety, Urbanization, Resource management, Predictive maintenance, Public services, Safety measures, Environmental sustainability, Data-driven decision-making, Public-private partnerships, Citizen engagement, AI-driven innovations, Urban ecosystems