Data Governance and AI in Smart Cities: Reducing Infrastructure’s Lifecycle Carbon Footprint with ESG Implementations

The recent advancements in generative artificial intelligence (Gen AI) and the subsequent escalation of associated data governance requirements have had a profound influence on both technological, environmental and economic landscapes in smart cities. This study examines the unique nexus between data governance and AI, particularly in simulating and optimising infrastructure with AI and data governance for Pareto Optimum. With a case study of a complex energy infrastructure in Australia, the study analysed the potential of data governance and Gen AI in energy infrastructure. The combined capabilities of AI and data governance to reduce the lifecycle greenhouse gas emissions and lifecycle costs are further discussed. Subsequently, computing infrastructure, a pivotal component in the training of Gen AI, related standards, regulations, and ESG (environmental, social and governance) implementation are also discussed, together with potential challenges. The study ultimately seeks to provide valuable insights and guidance to policymakers, industry leaders, and researchers who are striving to forge a more sustainable and equitable future.