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Workshop: NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems

Sustainability AI copilot: Analyze & ideate at scale to enable positive impact

Rajagopal A · Nirmala V · Immanuel Johnraja Jebadurai · Arun V


With the advances in large scale Foundation Models, web scale access to sustainability related data, planetary scale satellite data, the opportunity for community to collaborate with AI tools to create positive impact regarding climate change is imminent. Hence, the need for development of AI co-pilots in the field. In this work, we start with design of early stage Sustainability AI copilot (SAI). We demonstrate an early prototype of SAI with 4 use cases. Given the carbon footprint of industry, SAI enables sustainability officers at companies to understand regulatory frameworks, and discover sustainability best practices from peers to plan corporate sustainability roadmap. SAI enables climate enthusiasts to protect vulnerable people from climate disasters by exploring planetary scale satellite data. SAI also ideates with visionaries to explore climate friendly product designs. SAI also enables activists to create awareness about inclusion of vulnerable and persons with disability in the climate conversation. In the era of large scale AI, this work proposes the opportunity for creating co-pilots to accelerate progress on Sustainable Development Goals

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