person
David Rolnick
McGill / Mila; Climate Change AI co-founder
McGill assistant professor and Mila core faculty; co-founder of Climate Change AI. Co-author of the influential 'Tackling Climate Change with Machine Learning' (2019) paper.
current Assistant Professor of Computer Science, McGill University; Canada CIFAR AI Chair, Mila; Co-founder, Chair, Climate Change AI
Strategy positions
Differential technologyendorses
Preferentially develop protective technology over dangerousArgues climate is the highest-leverage public-interest AI application and the most under-funded; calls for differential investment in protective rather than only optimizing technology.
Machine learning has high-impact applications across the climate change problem space, from forecasting and emissions reduction to behavioural change. We outline these systematically.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with David Rolnick's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.