Leveraging AI to Effectively Combat Climate Change

AI plays a crucial role in combating and mitigating the impacts of climate change.

FREMONT, CA: The use of machine learning to address shared problems has become more popular worldwide thanks to the UN-led AI Advisory Body. Governments, corporations, and partners from civil society are collaborating more often to push the 2030 Agenda and its 17 Sustainable Development Goals forward. AI is assisting governments, businesses, and communities in combating climate change.

Weather

The UN's World Meteorological Organization (WMO) has emphasized the potential of AI-driven technology to improve forecast models, process vast volumes of data, and extract useful information. This can help anticipate climate change trends, which will help communities create efficient plans for mitigation and adaptation. Through AI-driven projects, UN agencies assist vulnerable Sudan, Burundi, and Chad vulnerable populations. Improved data can have a profound impact on the ground.

Disaster prevention

AI helps identify high-risk areas and implement sustainable measures to prepare communities for climate disasters. Organizations like ITU, UNEP, and WMO recognize AI's potential to improve weather forecasts and reduce disaster risks. The WMO operates an early warning system and a program to minimize catastrophe risks. The UN's Early Warnings for All project aims to protect everyone from dangerous weather, water, or climate disasters by 2027 through early warning systems.

Tracking pollution

Reports on urban air quality are based on worldwide pollution monitoring. AI can support local governments' decision-making to enhance urban resilience and public health. AI can improve waste management, traffic, and urban planning, all of which will enhance the sustainability and livability of cities.

Carbon neutrality

By reducing its negative effects on the environment and enhancing its efficiency, AI can substantially contribute to intelligent sustainability and global carbon neutrality. It can decrease downtime in energy production, improve the efficiency of renewable energy sources, and optimize grids. Predictive maintenance powered by AI can also assist the world in reaching its 2030 goal of affordable and clean energy by cutting down on energy production downtime (SDG 7). AI has the potential to completely change how people approach sustainability in the world and is a key catalyst in reaching these goals.

Fast fashion

The fashion industry is a global sector that has a history of high emissions. However, AI-driven research and development can help to accelerate innovation and make the industry more sustainable. The industry is predicted to expand quickly, with almost 300 million workers, many of whom are women. The sector's unsustainable practices have a significant impact on society and the environment, and costs will continue to rise unless production methods and consumption habits drastically change. AI can help to monitor resource use, reduce waste, improve sustainable manufacturing practices, and optimize supply networks. Additionally, AI can play a crucial role in accelerating the energy transition by increasing efficiency and optimizing savings in energy-intensive industries.

Fast food

AI can significantly reduce greenhouse gas emissions in agriculture, which produces 22 percent of the world's greenhouse gas emissions. AI can streamline procedures, reduce waste, and mitigate environmental impacts. By incorporating renewable energy sources into energy networks and reducing fossil fuel dependency, smart grids can balance supply and demand. The UN Food and Agriculture Organization highlighted AI's potential in creating climate-resilient agri-food systems, demonstrating its sustainability, efficiency, and adaptability to changing conditions.