AI in the fight against climate change: data analytics, predictive modeling and innovative solutions.
AI can process and analyze large volumes of environmental data, enabling scientists and policymakers to gain a deeper understanding of weather patterns and predict extreme events with greater accuracy. In addition, AI-based predictive modeling can identify areas most vulnerable to climate change and help design more effective mitigation and adaptation strategies.
The list of applications and solutions is extensive; AI is used to track and predict the melting of icebergs, a task it can perform 10,000 times faster than a human being, which is crucial to understanding the impact of melting ice on sea level rise. It is also applied in agriculture to improve efficiency and reduce environmental impact, as in waste management and the circular economy, demonstrating its versatility in different sectors.
On the other hand, AI tools such as neural networks are used to predict and model the climate, these models can help scientists to better understand weather patterns and predict future changes; added to this model currently scientists have emerging AI technologies that seek efficient ways to capture and store carbon to reduce the amount of CO2 in the atmosphere and to improve the efficiency of renewable energy, such as solar and wind, by predicting weather patterns and optimizing power generation.
In sectors such as forestry, AI can be used to monitor forest health, identify areas of deforestation and develop sustainable reforestation plans, and to better predict and prepare for extreme weather events such as hurricanes, floods and droughts, as well as promote more sustainable transportation, in affected areas, thus addressing several climate change fronts simultaneously.
Regional and global initiatives are also incorporating AI into their strategies. For example, in Córdoba, Argentina, environmental policies have been presented at the Argentina Carbon Forum, which seeks to integrate the public and private sectors in the fight against climate change. Andalusia, Spain, will host the I International Congress against Climate Change, highlighting the role of regions and cities in this global battle. At the international level, United Nations Secretary-General António Guterres has urged greater global commitment to the fight against climate change.
AI not only provides a deeper understanding of today's climate challenges, but also offers practical and scalable solutions to address this global crisis. Its ability to analyze complex data and provide accurate predictions is invaluable for making informed and timely decisions in the fight against climate change.
It is crucial that governments invest in AI research and development for climate change, that partnerships are created that foster collaboration between scientists, engineers, policy makers and businesses to ensure that AI is used responsibly and ethically to combat this global threat.
In Mexico, several solutions based on Artificial Intelligence (AI) are being developed to combat climate change, among them we have: Inteligencia Artificial contra el cambio climático, a global project that seeks to protect natural reserves in Mexico and the world https://www.forbes.com.mx/red-forbes-la-iniciativa-inteligencia-artificial-contra-el-cambio-climatico-un-proyecto-global/ and Programa De Las Naciones Unidas Para El Desarrollo, where they are exploring how generative artificial intelligence can be harnessed as an engine for sustainable development https://www.undp.org/es/mexico/blog/navegando-las-posibilidades-de-la-ia-generativa-para-el-desarrollo-sostenible
These are just some of the ways in which AI is being used in Mexico and the rest of the world to combat climate change. It is important to remember that the fight against climate change is a global effort and requires the collaboration of all countries and sectors of society.
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