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AI for Environmental Sustainability
Abstract
The accelerating pace of global environmental degradation—from climate change to biodiversity loss—demands bold and innovative solutions. This chapter explores how artificial intelligence (AI) is emerging as a transformative force in tackling these challenges. By harnessing technologies such as machine learning, computer vision, and natural language processing, AI offers unprecedented capabilities for monitoring ecosystems, forecasting climate impacts, managing resources efficiently, and guiding sustainable development. AI with complementary technologies like IoT, GIS, and cloud computing enhances data-driven decision-making across agriculture, urban planning, energy, water, and biodiversity conservation. However, the application of AI also raises ethical, social, and environmental concerns that must be addressed to ensure responsible and inclusive deployment. Through a multidisciplinary lens, this chapter examines AI's potential, limitations, and implications in advancing environmental sustainability, aiming to inform policy and practice for a resilient and equitable future.
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