Παρακολούθηση της απόδοσης ESG με τεχνητή νοημοσύνη σε έξυπνες πόλεις: ευκαιρίες και προκλήσεις

This master's thesis investigates how smart cities can adopt technologies such as ArtificialIntelligence (AI) for the systematic monitoring and evaluation of their performance in Environmental, Social, and Governance (ESG) matters.The primary objective is to identify the key indicators that are crucial for decision-making and the formulation of policies at the level of municipal governance.Furthermore, the thesis aims to record international practicesconsidered in relation to the Greek context-that are currently applied for monitoring these indicators.The research also focuses on the opportunities offered by the integration of AI, which enhances the capacity for systematic data collection, analysis, and utilization.These opportunities relate to increased transparency in processes, strengthened accountability of municipal authorities, and more efficient allocation of resources.At the same time, the study highlights significant challenges, such as technological infrastructure requirements, the protection of personal data, algorithmic bias, and the adaptation of cities to new governance processes.Through a literature review, the examination of case studies, and the analysis of publicly available data, the thesis seeks to provide a comprehensive framework of best practices and strategies for the integration of AI into ESG monitoring in smart cities.The contribution of the research extends both to theoretical substantiation and to the practical application of sustainable urban development policies.