Responsible AI for Climate
AI is neither the solution to the climate crisis nor a distraction from it. But using it well requires understanding what it actually does and where it breaks. This course gives you the analytical framework to make those judgments yourself — starting today.
Start course →What you'll leave with
- ✓Explain what LLMs actually do — and where they structurally fail
- ✓Name five patterns where AI creates real, measurable climate value
- ✓Apply the Five-Question Filter to any AI proposal you encounter
- ✓Articulate one thing you'll build and one thing you'll refuse to build
Course sections
What AI Actually Is
Cut through the hype and the fear. Learn what LLMs actually do, the difference between tool AI and agentic AI, and why governance matters as much as the technology.
Where AI Breaks
Knowledge checkEnergy costs, fossil fuel partnerships, greenwashing at scale, and the attention shift. A systematic look at where AI harms climate work — with tools to tell hype from reality.
Where AI Helps
Five capability patterns that create measurable climate value — from methane detection at planetary scale to coordination infrastructure that links actors who can't currently see each other.
The Five-Question Filter
Five-Question FilterA repeatable decision-making tool for evaluating any AI-for-climate proposal. Apply it to a real case from your own work and get a structured assessment.
Your Role
Commitment exerciseWhat's settled, what's genuinely uncertain, and where the asymmetry argument lands. Close with a concrete answer to: what will you build, and what will you refuse to build?