Smart Solutions for a Greener Tomorrow: Leveraging Artificial Intelligence (AI) to Address Climate Change and Drive Sustainable Development

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Authors: R. Venkatesh
Cited by: 0
References: 33

Abstract

Concerning the transformative nature of AI in facilitating responses to climate change and the persistence of sustainable development, it is essential to note that environmental challenges are progressively worsening everywhere around the globe. One of the primary instruments that offers promise is AI, which can revolutionize our attitude towards sustainability by providing an overview of AI-led solutions that optimize resource management, enhance energy efficiency, and make data-driven decision-making possible across sectors. Within this chapter, the reader will be able to contrast practical applications of AI technologies, such as precision techniques in agriculture that avoid waste, using maximum renewable energy through smart grids, and low-emitting systems through intelligent transportation. Each case study will help the reader understand how AI successfully mitigated environmental impacts and further spurred sustainable practices. In line with this objective, the chapter discusses some ethical issues related to the implementation of AI and, therefore, touches on the problems of data privacy, algorithmic bias, and the call for openness. Possible hurdles and obstacles arising from technical and infrastructure demands are identified in such a situation. The chapter tends towards a collaborative effort by government, industry, and civil society to deal with the challenges presented. All in all, this work shows the potential integration of intelligent systems into strategies on climate action, paving the way toward a greener, more sustainable future- all because of creative solutions and international cooperation.

Fields of Study & Subjects

Innovation Sustainability Human-Machine Systems Artificial Intelligence Applications Climate Change and Sustainable Development

Publication details

Journal / source
BENTHAM SCIENCE PUBLISHERS eBooks
Pages
111–138
Publication date
26 January 2026
Document type
Book chapter