Artificial
intelligence refers to systems with the ability to reason, discover meaning,
generalize, or learn from past experience. If you own a smartphone and have
ever used the smart assistant feature such as Alexa, Bixby or Siri, then you
have interacted with AI. Many companies have been using AI tools for data
analysis, customers service and marketing. Now businesses have also been using
AI to help ensure a more sustainable future. With the popularity surge of AI,
we could possibly see new ideas and changes being made to climate change. Major companies such as Google and Facebook, which have been
using machine learning to their own data centers to reduce energy consumption
by 40 percent. Google has also promised to stop making custom AI tools for oil
and gas firm companies. Facebook has teamed up with Carnegie Mellon
University to use AI for acceleration of quantum mechanical simulations by
1,000x. This could lead to the discovery of new electrocatalyst which can be
used to support on more efficient ways to store and use renewable energy.
Researchers at Stanford University's Natural Capital Project have been using
remote-sensing data with machine learning to detect smaller dams and
reservoirs. These structures can help bring drinking water and generate hydropower
energy. Unfortunately, if these structures are not built and managed
carefully, then they could potentially harm ecosystems. Another drawback regarding AI environmental impact, is that there will be an increased in
carbon emission due to the development of AI. Machine learning takes a massive
amount of energy, according to an article by Emma Strubell from Cornell
University. It takes around 300,000kilg of carbon dioxide just to develop one
AI program. Businesses will need to find new solutions that are less energy
costly to combat this carbon emission issue. Even with a couple of drawbacks, with
the help of deep learning, we could manage renewable energy and set
restrictions by collecting data on nonrenewable resources. We could also, have a greater understanding of weather forecasting such as droughts and floods that are caused by climate change. Climate change will still remain a long-term threat, but with the combination
of human action and the data collected through AI, we
could take the steps to not only detecting carbon emission, but finding new
alternatives to reduce it and achieve a more sustainable future.
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