Understand how AI supports sustainable goals

The United Nations Sustainable Development Goals (SDGs) are 17 global goals designed to create a better and more sustainable world by 2030. They cover issues like clean water, quality education, climate action, and life on land and sea. Artificial intelligence is increasingly being used to help achieve these goals.

How AI Supports Sustainability

• Climate monitoring — AI analyses satellite images and sensor data to track deforestation, ice melt, and pollution levels.
• Wildlife protection — AI-powered cameras identify endangered species and detect poachers in real time.
• Sustainable farming — AI guides irrigation and pest control, reducing water use and chemical waste.
• Ocean health — AI processes ocean data to monitor plastic pollution, temperature changes, and coral reef health.
• Disaster response — AI predicts floods, earthquakes, and wildfires, helping communities prepare and evacuate.

The Environmental Cost of AI

AI also has environmental costs. Training large AI models requires enormous amounts of computing power, which consumes significant electricity. Data centers that run AI systems generate heat and need cooling water. It is important to build AI sustainably — using renewable energy for data centers and designing efficient models.