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Invitational

The document argues that the development and use of artificial intelligence (AI) has significant negative implications for the environment, urging government officials to implement policies to mitigate these impacts. A study indicates that training large AI models can produce substantial carbon emissions, comparable to multiple flights, and the energy demands of AI are expected to contribute significantly to global emissions by 2040. Additionally, the manufacturing of AI infrastructure relies heavily on unsustainable practices and fossil fuel energy, further exacerbating environmental concerns.

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24 views1 page

Invitational

The document argues that the development and use of artificial intelligence (AI) has significant negative implications for the environment, urging government officials to implement policies to mitigate these impacts. A study indicates that training large AI models can produce substantial carbon emissions, comparable to multiple flights, and the energy demands of AI are expected to contribute significantly to global emissions by 2040. Additionally, the manufacturing of AI infrastructure relies heavily on unsustainable practices and fossil fuel energy, further exacerbating environmental concerns.

Uploaded by

asdgaming554
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOCX, PDF, TXT or read online on Scribd
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Good morning everyone

I want to persuade people to realise that the development and use of artificial
intelligence has harmful implications on our environment. I also want to
persuade government officials to implement policies and take steps which
mitigate the impact of AI on the environment into mainstream climate action.
Statistics and evidence
Recently, a study was conducted by researchers at the University of
Massachusetts to determine how much energy is used to train certain popular
large AI models. According to the results, training can produce about 626,000
pounds of carbon dioxide, or the equivalent of around 300 round-trip flights
between New York and San Francisco – nearly 5 times the lifetime emissions of
the average car.
According to OpenAI researchers, since 2012, the amount of computing power
required to train cutting-edge AI models has doubled every 3.4 months. By 2040,
it is expected that the emissions from the Information and Communications
Technology (ICT) industry as a whole will reach 14% of the global emissions, with
the majority of those emissions coming from the ICT infrastructure, particularly
data centres and communication networks.
UNEP official has stated that making a 2 kg computer requires 800 kg of raw
materials in manufacturing process.
Adverse impacts of AI on the environment
1. Deployments where all AI infrastructure is located are housed in data
centres. All of these require a staggering amount of electronics. Most of
these are made of rare earth elements which are often mined
unsustainably.
2. They use massive amounts of electricity. With the advancement in
technology, AI models are becoming more complex, and complex models
means huge sizes. Making enormous AI datasets, training and running
such AI models requires unimaginable amounts of energy. This is
electricity which is often procured by burning of fossil fuels in most places.
3.

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