The recent launch of the UN-led AI Advisory Body has contributed to the growing global trend of utilizing machine learning to address common challenges. AI is revolutionizing data analysis, and governments, businesses, and civil society partners are collaborating to harness its benefits. This includes accelerating efforts to achieve the 2030 Agenda and its 17 Sustainable Development Goals (SDGs), which aim to create a greener, cleaner, and fairer planet.
As the UN Climate Change Conference (COP 28) approaches in Dubai, AI is being recognized for its role in combating climate change and supporting progress towards the SDGs. AI-driven technologies, such as WeatherAI, have the ability to process vast amounts of data, extract valuable insights, and improve predictive models. This enables better modeling and prediction of climate change patterns, aiding communities and authorities in developing effective adaptation and mitigation strategies.
In countries like Burundi, Chad, and Sudan, UN agencies are utilizing AI-driven projects to investigate past environmental changes and provide future projections for adaptation measures. On the ground, enhanced data is proving to be a game-changer. For example, the MyAnga app helps Kenyan pastoralists prepare for drought by providing meteorological data to their mobile phones, allowing them to plan ahead and manage their livestock effectively.
AI is also playing a crucial role in strengthening resilience and adaptation to climate-related hazards and natural disasters. It is being integrated into national policies, strategies, and planning to improve education, awareness, and capacity on climate change mitigation and early warning systems. The UN Framework Convention on Climate Change (UNFCCC) serves as the primary international forum for climate change negotiations.
In the face of increasing extreme weather events, AI is helping communities worldwide to better prepare for climate disasters. AI-driven initiatives are targeting high-risk areas and contributing to local and national response plans. For instance, mapping technology is assisting authorities in planning sustainable development measures and reducing risks in landslide-prone areas.
AI is also being leveraged to track pollution, improve urban planning, and enhance traffic and waste management, making cities more sustainable and livable. In the pursuit of carbon neutrality, AI’s algorithms play a crucial role in minimizing environmental impact and increasing efficiency. It can optimize energy grids, increase the efficiency of renewable sources, and reduce downtime in energy production.
To address the decline in international funding for clean energy in developing countries, AI can help increase the share of renewable energy globally and improve energy efficiency. AI-driven research and development are also being utilized in the fashion industry to accelerate innovation, optimize supply chains, and promote sustainable manufacturing processes. Similarly, in agriculture, AI can optimize practices, reduce waste, and minimize the environmental impact of food production.
The UN has been actively exploring ways to leverage AI’s potential across various issue areas. The establishment of the interagency working group on AI (IAWGAI) and the AI for Good platform demonstrates the UN’s commitment to driving change and impact through AI. Multiple UN agencies are also organizing competitions to advance climate action with AI, with the winning entries set to debut at COP 28.
Overall, AI is proving to be a valuable tool in addressing global challenges and advancing sustainable development goals. The UN is actively promoting the use of AI to create a more sustainable and resilient world.