Role of Green AI in reducing Carbon Footprints

Abstract: This paper studies the dual role of AI as both a contributor to and a mitigator of climate impact, focusing on its capacity to reduce carbon footprints across various sectors. AI techniques, such as intelligent energy management, predictive maintenance, supply chain optimization, and smart transportation, enable more efficient use of resources and reduction of greenhouse gas emissions. Furthermore, AI-driven optimizations in its own development through model compression, green neural architectures, and carbon-aware scheduling are transforming how AI systems are built and deployed with minimal environmental impact[1]. By integrating AI into climate strategies and promoting energy-efficient AI development, the technology can serve as a powerful enabler of global decarbonization efforts. This paper highlights key innovations, challenges, and pathways toward leveraging AI for a more sustainable and carbon-conscious future.