AI could better predict climate change impacts, some experts believe

All signs point toward a future affected byclimate change.

From higher temperaturestodroughts and more extreme weather, experts are searchingfor ways to sustain our growing population, as well as our planet.

Some analysts say machine learning and artificial intelligence(AI) offer promising strategiesto respond to the effectsof climate change.

AIcan work faster than a human being, can forecast further into the future, has a low error rate and has 24/7 availability.

This allows it to better predict extreme weather, flooding, natural disasters and other destruction linked to climate change.

And that's why, in late June, University of Waterloo partnered with Microsoft AIfor Earth.

Launched in 2017, AIfor Earth is a program that issues grants to projects using AIto address climate change challenges.

The project, which focuses on finding solutions infour specific areas agriculture, water, biodiversity and climate change is dedicating $50 million USto solving problems caused by the shifting climate.

Since 2017, it hasexpanded across the world, giving grants to more than 250 applicants in 66 countries.

Lucas Joppa, chief environmental officer at Microsoft and founder of AIfor Earth, said the project is helping to createa digital transformation of environmental sustainability.

Grantees use AItechnologies to process machine learning algorithms, which, through code, can create future risk models and predictions of challenges caused by climate change disruptions. The AIuses combinations of historical data, simulations and real-time satellite observations to track patterns much faster than a human being.

This technology can better predictfuture events, including potentially forecasting the location of the next wildfireorusing past data to improve food productionthrough weather tracking and soil information.

Predictions like these could help prevent disasters, create safer environments and warn people of impendingdangers.

Fear of AI

With the increase of AIcomes an increase of fear in some quarters.

Christopher Fletcher, associate professor at the University of Waterloo and grantee of the AIfor Earth program, said the concept of machines taking over the job market or gaining superior intelligence are common misconceptions of the large scale development of AI.

"I think most people think about AIas being a machine somehow replacing something that a human being does," Fletcher said. "In my project, it's slightly different because I have a machine that is able to kind of learn but it's not replacing a human. It's actually replacing a more complicated computer model."

Fletcher's project which aims to predictfuture climate forecasts more accurately through the use of AI isn't the only one.

There are other commercially available projects that focus on anything from creating sustainable, data-driven farming, to analyzing blood from mosquitoes to stay ahead of diseases.

These are created to help people tackle climate change challenges, although one analystfears AIcould have the impact of letting people get away with consuming too much and failing to change their behaviour.

"Although [AI] could be helpful for tracking things like over fishingor pollution, it takes people off the hook," said Kerry Bowmen, a bioethicist and conservationist.

"Solving challenges like these doesn't make people change. This brings an issue of intergenerational ethics we have a responsibility to future generations. We need more long-term solutions."