“Exploring How to Power AI Sustainably” by the National Academies delves into the environmental impact of artificial intelligence. The report emphasizes the urgent need for sustainable energy sources to support AI technologies. As AI’s demand for computational power increases, so does its carbon footprint, raising concerns about global warming and resource depletion. The authors suggest integrating renewable energy solutions, such as solar and wind, into AI infrastructure to mitigate these effects. Additionally, the report highlights the importance of energy-efficient algorithms and hardware to reduce the overall energy consumption of AI systems. Collaboration between tech companies, policymakers, and researchers is crucial for developing frameworks that prioritize sustainability in AI deployment. By adopting eco-friendly practices, the industry can balance innovation with environmental responsibility, ensuring AI contributes positively to society without exacerbating climate change challenges. This approach not only supports sustainable growth but also aligns with global sustainability goals.
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