Technology-Based Learning Environments and the Role of AI in Addressing Sustainability Challenges

Abstract

In order to tackle the intricate environmental, social, and economic issues of the twenty-first century, artificial intelligence (AI) is fast becoming a game-changing tool. This study examines how AI can improve sustainable development through resource allocation optimisation, trend prediction, and large-scale dataset analysis. It looks at five important areas: governance, biodiversity conservation, resource management, climate change prediction modelling, and environmental data analysis. AI displays its ability to produce useful insights and assist evidence-based policymaking through applications like deforestation monitoring, smart energy grids, precision agriculture, and climate estimating. The study does, however, also draw attention to urgent issues that could impede equitable adoption, such as algorithmic bias, lack of transparency, data privacy risks, and the digital divide. This learning emphasises the significance of creating ethical, inclusive, and accountable AI frameworks by critically evaluating both chances and experiments. It comes to the conclusion that, although AI is not a cure-all, it does provide a potent set of tools to hasten the achievement of the Sustainable Development Goals of the UN, so long as its application is directed by responsibility, equity, and international cooperation.