How does artificial intelligence affect the environment?

How does artificial intelligence affect the environment?

By Dr. Kyle Muller

Artificial intelligence has become a technology that is gradually transforming our world. AI is actively integrating into various spheres of life, and it is expected to help solve problems that humanity has not yet been able to solve. However, this technology has a great impact on the environment. Artificial intelligence requires special equipment that consumes a lot of energy. The training and use of AI imply the consumption of energy, water and carbon dioxide emissions. An expert from Merehead, directly involved in the development of AI applications, will talk about the impact of artificial intelligence on the environment.
This technology consumes many resources to perform powerful calculations and, according to the IEA, the data centers consume up to 1.5% of the world electricity supply and their emissions represent 1% of the global CO2. Due to the constant growth of the use of cryptocurrencies and artificial intelligence, this consumption is expected to double in just one year.
Technological advances in the field of artificial intelligence (the creation of increased models and their training) multiply carbon dioxide emissions by one hundred. Therefore, the development of environmentally sustainable strategies is a crucial problem. If we compare a google search and a consultation with a chatbot of AI, the latter will consume 10 times more energy. Traditional software requires 33 times less energy than the generative process of an artificial intelligence system.

The environmental threat of artificial intelligence

The AI ​​is present in all areas of life: in search engines, devices, etc., and consumes a huge amount of resources. The consumption of electricity, water and carbon emissions of this technology is comparable to that of thousands of common homes. The training and functioning of AI causes the depletion of valuable fresh water reserves. In addition, complexity requires greater processing power, which in turn increases the consumption of resources.
The data and data centers that support technology suppose additional construction and maintenance costs. In addition to carbon, there are emissions of dangerous origin: lead and mercury. Its elimination also implies large expenses, and doing it on a large scale is a difficult task.
The energy costs of AI are very high and, in most cases, they are non -renewable sources: oil, gas and coal. There is not enough green energy for these technologies. Greenhouse gas emissions derived from AI significantly accelerate climate change.
Technology requires specialized equipment, which also increases environmental load. The high demand for these devices promotes expensive production.

How does artificial intelligence affect the environment? - The environmental threat of artificial intelligence

The importance of artificial intelligence in solving environmental problems

Despite high energy consumption, artificial intelligence plays a fundamental role in the protection and preservation of the environment. Humanity faces important environmental challenges, and the application of AI performs important functions:

  • Guarantees effective monitoring.
  • Analyze large volumes of satellite image data, track the smallest changes in the landscape, water levels in reservoirs, etc.
  • Detection of natural contamination in the form of landfills.
  • Precise forecast of possible natural disasters: floods, forest fires, earthquakes, hurricanes, etc.
  • Wild life monitoring and analysis, monitoring of animals of animals and birds through cameras.
  • Important forecast factors for agriculture, optimizing the use of fertilizers to reduce load on the ground.

AI is used to optimize energy consumption in data centers. This technology has rapid growth and enormous potential.

Intelligent use of artificial intelligence

If used prudence, the benefits of AI can far exceed the damages of energy consumption and emissions. A suggestion is to locate the data centers in regions where there is no water shortage and the energy comes from renewable sources. For example, Data centers in Iceland work with geothermal energy, and cold weather contributes to efficient refrigeration of equipment without unnecessary energy consumption.
Scientists already speak vehemence about the need to responsibly manage resources to avoid obvious climate change. It turns out that modern technological giants, such as Microsoft or Elon Musk’s company, do not fulfill, do not even intend to do so, with their environmental obligations.
Common users gladly use AI chats to simulate falsifications or other minor tasks. And they don’t even realize that they are damaging the environment. Answering common questions in these chats requires a huge expenditure of resources. It should be noted that 519 ml of water are consumed at request, and only in the United States, more than 435 million liters of valuable resources per week are spent for a single response. As a comparison, this amount of water is consumed by the population of Odessa or the Dnieper in two days.

Why are so many resources spend?

Data centers operate powerful servers that require considerable refrigeration. When they perform calculations, these equipment generate a lot of heat. For cooling water is used. Any GPT Chat response is the analysis of a huge database by a server with considerable consumption of resources.
When technological giants such as Musk’s company built their data centers, they promised to use innovative cooling technologies to reduce water consumption. But later it was discovered that they were just words. When they were forced to publish consumption data, it was discovered that companies used between 4% and 6% of the total water in the region where they were located. And due to the complexity of AI technology, carbon emissions increased almost 50%.
The most recent chips, manufactured by NVIDIA, generate even more energy for the server, thus increasing the processing power. That is, artificial intelligence is generating changes, both positive and negative, not only in the behavior and emotions of society, but also in climate and the environment.

How does artificial intelligence affect the environment? - Why are so many resources spend?

Will the innovative artificial intelligence technology change our future and how?

Artificial intelligence, when integrating into any field of life, changes everything radically. Technology becomes increasingly complex and improved, but this process requires a lot of resources. This has an impact on the environment and significantly accelerates climate change.
Technological elites see great perspectives for this technology, so they invest large amounts of money in Ia. In seven years, the artificial intelligence market is expected to multiply by 200. The entire digital field consumes too many resources. And AI is no exception. Electricity, non -renewable sources (oil, gas, coal), a large amount of water for cooling, as well as a significant increase in harmful emissions of carbon, mercury, lead and cadmium: all this is the result of the application of innovation.
All our daily activities: email, social networks, instant messaging, video games, are the constant work of data centers that consume a huge amount of valuable resources without restoring them. How is this justified? Does the development of technologies improve the life of people? Yes, if they are used prudence, for example, in medicine, education, science or agriculture.
The first step to reduce the consumption of AI resources is to propose the location of data centers with powerful computer equipment in specific regions with cold climates and the possibility of using renewable energy. Currently, economic technological aspects are being developed to reduce the cost of valuable resources for the AI ​​operation.

If you want to read more articles similar to how does artificial intelligence affect the environment? We recommend that you enter our pollution category.

Kyle Muller
About the author
Dr. Kyle Muller
Dr. Kyle Mueller is a Research Analyst at the Harris County Juvenile Probation Department in Houston, Texas. He earned his Ph.D. in Criminal Justice from Texas State University in 2019, where his dissertation was supervised by Dr. Scott Bowman. Dr. Mueller's research focuses on juvenile justice policies and evidence-based interventions aimed at reducing recidivism among youth offenders. His work has been instrumental in shaping data-driven strategies within the juvenile justice system, emphasizing rehabilitation and community engagement.
Published in

Leave a comment

one × 1 =