I've read about GiveDirectly's ML targeting (Bangladesh results) and GiveWell's AI red-teaming and lit reviews. What about other charities?
Is AI actually saving significant admin/research/ops time anywhere, or is it mostly shallow adoption?
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I lead the Impact team at ProVeg International, and it's definitely unlocked our capabilities! E.g., one of our country office's recently developed a 3 year plan, and asked if we could forecast their impact in terms of GHG emissions. I reckon using Claude saved us close to a week in building the model.