How can ML be harnessed to mitigate climate change impacts while balancing economic and social factors?

ANSWER: ML can optimize renewable energy deployment, forecast demand and improve grid efficiency. It enhances climate modeling, assessing impacts for better planning and resilient infrastructure. Smart agriculture powered by ML increases yield with fewer resources. It identifies patterns in large data, aiding in policy decisions that balance economic growth with sustainable practices. However, it must consider ethical implications, ensuring equitable solutions and not exacerbating social disparities. Collaboration across sectors is vital for these ML applications to effectively combat climate change while maintaining socio-economic balance.