Climate Change Action Using AI

Can we use artificial intelligence (AI), the most powerful tool humanity has at its disposal, to tackle climate change, the most pressing problem humanity faces today?  

According to the Forbes article, several emerging AI start-ups help companies decarbonise or reach their net-zero carbon goals. These AI businesses offer services that range from providing climate insurance coverage, carbon offsets, and accounting to providing climate intelligence to guide investments and resilience-building projects, helping electric grids’ efficiency reduce emissions, supporting the agriculture sector in reducing its GHGs, and helping mitigate the risk of fires and bolster firefighting efforts.

According to the article, the world has reached an “inflection point” in the relationship between climate change and capitalism. Many of the world’s largest businesses have started to commit to reducing emissions and set a net-zero emissions target.

Companies have begun adopting practices to reduce their carbon footprint, and asset managers have made climate change a crucial part of their investment decisions. In contrast, Government banks have taken policy actions that include climate change as a systematic risk.

This transformation has opened a flow of capital towards climate initiatives. Climate change has become a pressing matter globally and a business opportunity.

National Geographic reports that the biggest names in AI and machine learning published a paper, “Tackling Climate Change with Machine Learning,” as an opportunity to help the cause to fight climate change.  The authors presented the paper during a major AI conference in June 2017.

According to the article, “The paper offers up 13 areas where machine learning can be deployed, including energy production, CO₂ removal, education, solar geoengineering, and finance. Within these fields, the possibilities include more energy-efficient buildings, creating new low-carbon materials, better monitoring of deforestation, and greener transportation.”

David Rolnick, one of the paper’s authors, says AI is not a silver bullet, but it can provide new insights into the climate change problem.  

There are three ways machine learning can help tackle climate change:

1. Provide better climate prediction by improving the prediction of extreme events to unlock insights from the massive amounts of complex climate simulations generated by climate models.
2. Show the effects of extreme weather to drive actions, and
3. measure where carbon comes from.

According to the article, a grant from Google is expanding Carbon Tracker’s satellite imagery efforts to include gas-powered plants, in addition to tracking emissions from coal-powered plants around the world, to better understand where the air pollution is coming from.

Monitoring systems from Carbon Tracker can be used worldwide, especially in areas that are not monitored.

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