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Title	Ai-Driven Sustainability: Exploring Historical Developments, Applications, And Future Horizons
ID_Doc	7045
Authors	Johri P.; Chauhan A.; Deepak; Kumar D.; Kumud
Year	2025
Published	2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, IC3ECSBHI 2025
DOI	http://dx.doi.org/10.1109/IC3ECSBHI63591.2025.10991186
Abstract	Artificial Intelligence has now emerged as one of the most powerful tools to tackle various sustainability issues from climate change and resource management to environmental degradation. The historical development, applications, and future horizons of AI-driven sustainability are researched in this paper, focusing on some of the significant contributions made in sectors ranging from energy and agriculture to urban planning. Industries will be able to optimize resource use, enhance energy efficiency, and introduce sustainable practices with the help of AI technologies such as machine learning, deep learning, and big data analytics. Several other relevant issues regarding the integration of AI include data privacy, biases, limitation of infrastructure, and regulatory uncertainties. The latest innovations in AI, such as quantum computing and bio-inspired algorithms, show promise in pursuit of sustainability goals. The paper reiterates the need for cross-sectoral collaboration, responsible development, and strategic governance in unleashing the maximum positive impact of AI on global sustainability. © 2025 IEEE.
Author Keywords	Artificial Intelligence; Climate Change; Deep Learning; Energy Efficiency; Ethical AI; Future Horizons; Machine Learning; Quantum Computing; Resource Optimization; Smart Cities; Sustainability; Sustainable Development Goals

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