The launch of the UN-led AI Advisory Body advanced a growing global trend to harness machine learning to find solutions to common challenges. AI is upping the data-crunching game and a growing number of governments, businesses, and civil society partners are working together to reap its many benefits.
That includes speeding up and scaling efforts to realize such global ambitions as the 2030 Agenda and its 17 Sustainable Development Goals (SDGs), which serve as the world’s blueprint to make the planet greener, cleaner, and fairer.
UN News looks at how AI helps the world, from communities to corporations to lawmakers, tackle climate change:
Weather
AI-driven technologies offer previously unheard-of capabilities to process enormous volumes of data, extract insightful knowledge, and improve predictive models, according to the UN’s World Meteorological Organization (WMO).
That means improved modeling and predicting climate change patterns that can help communities and authorities draft effective adaptation and mitigation strategies.
Several UN agencies support vulnerable communities in Burundi, Chad, and Sudan through an AI-driven project to investigate past environmental change around displacement hotspots and deliver future projections to inform adaptation measures and anticipatory action for integration in humanitarian programming.
On the ground, enhanced data can be a game-changer. For instance, the MyAnga app helps Kenyan pastoralists brace for drought. With data from global meteorological stations and satellites sent to their mobile phones, herders can plan, better manage their livestock, and save hours of scouting for green pastures.
Disaster prevention
As extreme weather events unfold with more frequency and intensity, AI can help communities around the world to better brace for climate disasters.
AI-driven initiatives are targeting high-risk areas and feeding into local and national response plans. For areas susceptible to landslides, for example, mapping can help local authorities plan and implement sustainable development measures, reduce risks, and ensure the safety of residents in vulnerable communities.
Related developments in AI and robotics were among the tools identified in a recent project led by WMO, the UN Environment Program (UNEP), and the International Telecommunication Union (ITU). From enhancing accuracy in weather forecasts to reducing disaster risks, AI is already helping, according to WMO, which operates a disaster risk reduction program and multi-hazard early warning system that serves countries, communities, and humanitarian agencies.
Leveraging AI’s benefits is also part of the UN Secretary-General’s groundbreaking Early Warnings for All initiative. Launched earlier this year, its action plan aims to ensure everyone on Earth is protected from hazardous weather, water, or climate events through early warning systems by the end of 2027.
Tracking pollution
Ever wonder where urban air quality reports come from? Cities around the world already track pollution to alert the public in cases of dangerous levels.
Using AI, susceptibility maps can support local governments in making decisions to improve public health and urban resilience.
In addition, AI can improve urban planning as well as traffic and waste management, making cities more sustainable and liveable.
Carbon neutrality
AI can revolutionize the world’s approach to carbon neutrality and usher in an era of intelligent sustainability on a global scale at a time when the race is on to keep Earth from heating up to dangerous levels.
As a critical catalyst in realizing global carbon neutrality goals, AI’s algorithms have a key role to play in minimizing environmental impact and maximizing efficiency.
In terms of realizing the global goal for affordable and clean energy for all by 2030 (SDG 7), AI can optimize grids and increase the efficiency of renewable sources. Predictive maintenance using AI can also reduce downtime in energy production. That can mean reducing the planet’s carbon footprint.
Fast fashion
As an industry with a record of high emissions, fashion can benefit from AI-driven research and development to accelerate innovation. The $2.4 trillion global industry employs approximately 300 million people across the value chain, many of whom are women, and the scale of the industry is only expected to grow over the coming years.
Given its size and global reach, unsustainable practices within the fashion sector have important impacts on social and environmental development indicators, and without major changes to production processes and consumption patterns in fashion, the social and environmental costs of the sector will continue to mount, according to the UN Alliance for Sustainable Fashion.
That’s where AI can step in. Machine learning can optimize supply chains to reduce waste, monitor resource consumption, and promote sustainable manufacturing processes. AI can help to accelerate the energy transition by optimizing savings and improving efficiency across energy-intensive sectors.
Fast food
Likewise with agriculture, another emissions-heavy sector. It accounts for 22 per cent of global greenhouse gas emissions, according to a UN climate assessment report, but AI-driven efforts can change that.
From corporations to small-scale farmers facing extreme weather events, water scarcity and land degradation, AI can help optimize their practices, reduce waste and minimize the environmental impact of food production. AI-driven smart grids can balance supply and demand, facilitating the integration of renewables into energy systems and reducing the reliance on fossil fuels.
This year’s Science and Innovation Forum, held in mid-October, focused on climate action. Hosted by the UN’s Food and Agriculture Organization (FAO), the week-long event showcased examples of technologies that aim to transform traditional practices into data-driven systems that protect people and the planet.
Among them, AI and digital tools are pivotal in building climate-resilient agri-food systems that are more efficient, sustainable, and adaptable to climate change challenges, according to the agency.
This blog post was first published by UN News
UN Photo/Elma Okic Artificial intelligence can contribute to fighting climate change and supporting progress towards all the SDGs.
