The article discusses how artificial intelligence (AI) can potentially help address the global air pollution crisis, which is expected to cost the world economy $20 billion by 2024. AI algorithms can analyze data from air quality sensors, weather patterns, and emissions sources to predict pollution levels and identify hotspots. This information can then be used to optimize traffic flows, adjust industrial operations, and inform policymakers on effective mitigation strategies. The article highlights several AI-based solutions being developed, such as Google’s Air View project, which uses machine learning to forecast air quality, and IBM’s Green Horizon project, which aims to reduce emissions from shipping. Additionally, AI can help monitor and enforce environmental regulations by detecting violations through satellite imagery and sensor data analysis. However, the article notes that the widespread adoption of AI solutions for air pollution still faces challenges, including data availability, privacy concerns, and the need for cross-sector collaboration.
Source: https://www.businessinsider.com/ai-20-billion-dollar-air-pollution-problem-2024-12