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Recent research from Northwestern University, Harvard University, and The University of Texas at San Antonio reveals the overlooked environmental and social impacts of Generative AI. The study emphasizes the urgent need for sustainable practices as GenAI technologies expand rapidly. It highlights the significant resource consumption and pollution associated with hardware production and data centers.
The findings also address social inequities, including labor exploitation in cobalt mining and unequal access to GenAI technologies. Researchers advocate for immediate action, proposing energy-efficient AI training and improved labor conditions. Transparency and accountability from developers are essential to mitigate these hidden costs and promote responsible AI development.
• GenAI development significantly impacts the environment and social equity.
• Urgent action is needed for sustainable practices in AI technologies.
Generative AI refers to algorithms that can create new content, such as text or images, based on learned patterns.
Data centers are facilities that house computer systems and associated components, crucial for AI operations.
E-waste refers to discarded electronic devices, which are a growing concern due to pollution and resource waste.
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