How Can Artificial Intelligence Strengthen Climate Change Strategy?

Slowing down climate change is definitely not a matter that should wait. If we fail, it is highly likely that our world will face a more comprehensive crisis than what we experienced due to the global COVID-19 pandemic. When artificial intelligence (AI) technology helps solve a problem, problem-solving can be done faster and the solution is often one that takes longer for humans to discover. Can artificial intelligence power the climate change strategy?

Slowing down climate change is definitely not a matter that should wait. If we fail, it is highly likely that our world will face a more comprehensive crisis than what we experienced due to the global COVID-19 pandemic. When artificial intelligence (AI) technology helps solve a problem, problem solving can be done faster and the solution is often one that takes longer for humans to discover. Can artificial intelligence power the climate change strategy? Yes, and it is already slowly doing so. AI Can Accelerate Our Response to Climate Change There is no time to lose: Atmospheric CO2 levels are at their highest ever (even with significant drops due to the onset of COVID-19), average sea levels are rising (8 centimeters in the last 25 years alone), and 2019 was the warmest year on record for the world's oceans. AI is not a magic wand, but it can certainly help us reduce greenhouse gas emissions in various ways. According to Capgemini Research Institute modeling, AI is estimated to help organizations in sectors from consumer products to retail and automotive, and fulfill 45% more of the Paris Agreement targets by 2030. AI will likely reduce greenhouse gas emissions by 16%. Here are a few of the most promising ways AI is already, or can, impact climate change strategy: AI Increases Energy Efficiency According to the Capgemini Research Institute, AI can increase power efficiency by 15% in the next three to five years. Machine learning supports efficiency in power generation and distribution, from autonomous maintenance to route optimization and fleet management. Deepmind AI can predict wind patterns up to 36 hours in advance to optimize wind farms. Electrical systems generate large amounts of data. Until now, energy companies have not utilized this data to learn as much as possible. Machine learning can help suppliers better utilize resources and fill gaps with renewable sources while reducing waste by scanning this data to understand and predict energy production. The use of AI for energy efficiency can start at the industry level, but use cases can extend to household and individual levels. https://cyfuture.com/blog/how-is-artificial-intelligence-helping-in-the-fight-against-climate-change/ AI Avoids Waste Companies, governments, and leaders often use AI solutions to prevent waste. Whether AI is used to reduce energy waste from buildings (which accounts for a quarter of CO2 emissions) or to understand supply and demand, a major way that AI can power climate change strategy is by reducing waste in all its forms (time, money, materials, etc.). AI Makes Transportation More Efficient Another quarter of global CO2 emissions comes from the transportation sector. Artificial intelligence is a technology that powers autonomous vehicles, including shared cars and smart transportation systems in some cities. Further adoption will help reduce emissions in the future. AI optimizes routes for fleets, traffic signals, and more. All these increasing changes appear to have a significant impact on climate change. https://climatechange-theneweconomy.com/artificial-intelligence/ AI Provides Tools to Help Understand Carbon Footprint It is said that "knowledge is power," and when it comes to mitigating climate change, AI can help create tools that enable individuals and companies to understand their carbon footprint and what measures they can take to reduce it. So, Does AI Not Have a Carbon Footprint? Yes, AI has a carbon footprint, and it is quite severe when…