On the Carbon Footprint of Economic Research in the Age of Generative AI

1. 1Identify computational workflows that utilize generative AI
2. 2Analyze the carbon footprint of these workflows, considering the role of prompts as decision policies
3. 3Develop strategies to optimize workflows and reduce their environmental impact
4. 4Implement sustainable practices in economic research, such as using energy-efficient computing resources or offsetting emissions

Data scientists, AI researchers, and economists on a team can benefit from understanding the environmental impact of their workflows and decision-making processes, enabling them to make more sustainable choices

💡 The carbon footprint of economic research using generative AI is significantly influenced by the downstream workflows and decision-making processes, not just the models themselves

🌎💻 Generative AI's carbon footprint in economic research: it's not just about the models, but the workflows #GreenAI #Sustainability