This panel discussion focuses on the development of project EnviroNet: an ImageNet analog for environmental sensing data and a global challenge to benchmark progress of artificial intelligence (AI) in addressing planetary boundaries we are on the verge of exceeding. The panel will include world leading representatives working at the cutting-edge of industry, universities, startups, and government labs in AI and geosciences. The goal of the discussion is to seek input on where the AI field is at present and the progress necessary over the next 30 years to address major challenges in meteorology and geoscientific fields before we push the planet into an unsustainable state. The panel and audience will provide their perspective on EnviroNet dataset and challenge design considerations that could maximize engagement with the wider communities, leading to progress on pressing global problems that bridge gaps across AI, geosciences and meteorology.

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