Artificial Intelligence and Sustainable Development: Reducing Food Waste, Building Resilient Organisations, and Enhancing Public Financial Administration

This paper explores the transformative impact of Artificial Intelligence (AI) across three critical areas: food waste reduction, organisational resilience, and public financial administration. By utilising AI technologies like machine learning, predictive analytics, and real-time monitoring, the study highlights how AI can address inefficiencies, enhance systemic resilience, and support global sustainability goals, including the United Nations SDGs. In food waste reduction, AI improves demand forecasting, inventory management, and supply chain optimisation, reducing surplus and spoilage. Examples like bakery demand forecasting and blockchain transparency demonstrate economic and environmental benefits. For organisational resilience, AI enables risk assessment and adaptive strategies, strengthening supply chains and helping organisations transition from reactive to proactive approaches during crises such as COVID-19. In public financial administration, AI streamlines processes, detects fraud, and enhances public trust through innovative platforms and predictive fiscal modelling, as shown in case studies from Finland, Australia, and China. Despite its potential, AI adoption faces challenges, including costs, data integration, ethical concerns, and unequal access. Overcoming these requires robust policies, collaboration, and capacity building. This research emphasises AI’s role as a catalyst for systemic change, advocating for ethical and inclusive adoption to advance sustainability, resilience, and equity in a complex world.