The potential adverse environmental effects of AI encompass:
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E-waste: The creation, upkeep, and disposal of AI technology result in electronic waste. This waste contains dangerous substances such as lead and mercury.
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Carbon footprint: The energy-demanding processes of AI contribute to a substantial carbon footprint. The computing power needed to train advanced AI models doubles approximately every few months, leading to increased greenhouse gas emissions and intensifying climate change.
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Resource consumption: AI can cause heightened consumption and waste in sectors like e-commerce and agriculture, potentially leading to environmental degradation and exhaustion of natural resources.
To lessen these detrimental impacts, it’s vital to set forth clear rules and standards for the creation, utilization, and disposal of AI technologies. Encouraging sustainable practices, energy-saving hardware, and responsible data gathering are crucial steps towards diminishing the environmental impact of AI.
