Harnessing Technology for Environmental Sustainability: Utilizing AI to Tackle Global Ecological Challenges

Harnessing Technology for Environmental Sustainability: Utilizing AI to Tackle Global Ecological Challenges

16/02/2024 | Most. Sohana Akter
The article "Harnessing Technology for Environmental Sustainability: Utilizing AI to Tackle Global Ecological Challenges" by Most. Sohana Akter explores the critical role of artificial intelligence (AI) in addressing pressing environmental issues such as climate change, biodiversity loss, and environmental degradation. The paper highlights how AI can optimize energy consumption, resource management, conservation efforts, and environmental risk prediction across various sectors. Key applications of AI in sustainability include sustainable agriculture, environmental monitoring, waste management, and climate change mitigation. The methodology involves a comprehensive review of existing literature and case studies, focusing on peer-reviewed studies and reputable sources. The article emphasizes the need for interdisciplinary approaches and collaborative efforts to maximize the positive impact of AI on environmental sustainability. Despite the potential benefits, challenges such as ethical concerns, data privacy, and the environmental impact of AI operations must be addressed through continued research and investment. Overall, the integration of AI is seen as a transformative force in fostering a more resilient and sustainable future for current and future generations.The article "Harnessing Technology for Environmental Sustainability: Utilizing AI to Tackle Global Ecological Challenges" by Most. Sohana Akter explores the critical role of artificial intelligence (AI) in addressing pressing environmental issues such as climate change, biodiversity loss, and environmental degradation. The paper highlights how AI can optimize energy consumption, resource management, conservation efforts, and environmental risk prediction across various sectors. Key applications of AI in sustainability include sustainable agriculture, environmental monitoring, waste management, and climate change mitigation. The methodology involves a comprehensive review of existing literature and case studies, focusing on peer-reviewed studies and reputable sources. The article emphasizes the need for interdisciplinary approaches and collaborative efforts to maximize the positive impact of AI on environmental sustainability. Despite the potential benefits, challenges such as ethical concerns, data privacy, and the environmental impact of AI operations must be addressed through continued research and investment. Overall, the integration of AI is seen as a transformative force in fostering a more resilient and sustainable future for current and future generations.
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