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Four ways AI could help us respond to climate change – despite how much energy it uses

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By illuminem briefings

· 2 min read

illuminem summarizes for you the essential news of the day. Read the full piece on The Conversation or enjoy below:

🗞️ Driving the news: There are 4 ways in which AI could be leveraged in the fight against climate change:
1. Electricity: Enhancing energy efficiency by predicting supply and demand, optimizing renewable energy use
2. Transport: Reducing CO₂ emissions through efficient route planning for vehicles, including electric ones
3. Agriculture: Implementing better farming practices and minimizing waste with predictive analytics on crop yields
4. Disaster Management: Improving disaster response and prediction, such as flood damage assessment and relief planning

🔭 The context: Climate change requires addressing various challenges, including emission sources, renewable energy use, and disaster prediction
• AI is instrumental in breaking down these complex issues into manageable tasks, offering solutions that span from urban planning to biodiversity preservation

🌍 Why it matters for the planet: AI's role in climate change mitigation and adaptation is significant
• By optimizing energy use, enhancing agricultural efficiency, planning disaster response, and facilitating green transportation, AI technologies contribute to reducing the global carbon footprint and improving environmental sustainability

⏭️ What's next: The integration of AI in tackling climate change presents a promising path forward, yet concerns over AI's own energy consumption highlight the need for sustainable development of AI technologies
• Balancing AI's environmental impact with its potential benefits remains a critical area for future research and policy-making

💬 One quote: "To ensure AI can be a force for good in the fight against climate change, something will still have to be done about this.” (Lakshmi Babu Saheer, Anglia Ruskin University)

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