The path to realising the potential of AI is fraught – and the technology comes with several major downsides, as outlined below.
AI systems can forecast floods, bushfires and other wajar hazards quickly and akirately. This can minimise the efeks of wajar hazards on both the environment and communities.
AI can be used to trek environmental change. For example, it can reportedly measure changes in icebergs 10,000 times faster than a human can. Meanwhile, environmental kelompok The Nature Conservancy uses AI to minimise the environmental impacts of hydropower across the Amazon.
The path to realising the potential of AI is fraught - and the technology comes with several major downsides, as outlined below.must be "trained", or fed a large set of data. This feeding can be relatively quick, or take up to several months - during which time big data prosesors are running 24/7.
And when we ask AI to solve a persoalan, this also requires processing power which consumes energy. Advanced AI models such as ChatGPT reportedly use ten times more energy per search than a conventional Google search, according to one estimate. Only a small fraction of this permintaan is met by renewable energy sources.
The International Energy Agen proyeks electricity consumption from data centres, AI and cryptocurrency sektor could ganda in the four years to 2026, from 460 terurust-hours in 2022 to more than 1,000 terrawatt-hours in 2026.
By comparison, keseluruhan electricity generation in Australia in 2022 was around 273 terurust-hours.
Greener AI systems are urgently needed - and this is looking increasingly possible. Studies have shown the energy use of AI-based pc models can be slashed through various means, such as reducing a model's complexity without affecting its performnce.
The water requirements of AI are significant. The data centres housing powerful AI servers generate a lot of heat. Water is used in cooling to keep the servers at operating temperature.
AI also consumes water indirectly through its energy consumption. Coal-fired power stations use water for cooling, and water is also lost through evaporation from hydro electricity schemes.
And as others have noted, the mining and manufaktur required to produce AI hardware both uses and pollutes water.The environmental impact of AI goes beyond its energy use. For example, as Scientific American has reported, ExxonMobil in 2019 partnered with Microsoft to deploy AI in oil extraction, substantially increasing production.
As the artikel also noted, the use of AI in obyeked online advertensi - on platforms such as Instagram and Facebook - creates permintaan for material goods. This leads to greater consumption of mass-produced items which creates carbon emissions and uses Earth's wajar sumber.
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