Resources for Navigating Responsible Growth

Responsible AI Use: A Roadmap for Climate and Mission-Driven Organizations

What kind of AI use, for what purpose, under what safeguards, with what costs, and accountable to whom?

Values-Aligned AI: Helping institutions think clearly about AI, language, values, and change.

AI is not only a technical transformation. It is changing the stories institutions tell about intelligence, value, work, care, and responsibility.

Helping Climate Organizations Navigate AI: Without Losing the Human Plot

“Our funders are asking how we use AI. We do not yet have a shared or credible answer.”

“Some staff want rapid adoption. Others want a moratorium. How do we decide without damaging trust?”

“Our climate solution uses AI. How do we explain its water, energy, labor, and governance costs?”

“We have a policy, but it does not tell people what to do in a real project, proposal, or funder conversation.”

AI is now a climate question, a funding question, a labor question, a governance question, and a trust question—all at once.

Topical Memos

Methane Abatement: Where Philanthropy Can Accelerate Near-Term Climate Gains

Funders should look first for the missing public-interest or institutional layer - independent verification, response protocols, regulator or public-entity capacity, civil-society data use, or technical assistance that unlocks public, concessional, commercial, operator, or development finance.

Decision Memo: Funding the Public Systems that Convert Credible Detection into Verified Reductions

Methane mitigation can slow near-term warming, and much of the fossil-fuel opportunity is technically straightforward. Illustratively, allocate 40% to implementation and enforcement, 35% to independent monitoring and verification, 20% to community accountability, and 5% to evaluation and coordination.

When AI Becomes a Water Question: Austin Field Notes on a Texas Divide

Texas makes two sides of AI visible at once: computing infrastructure can place new demands on water, energy, land, and public systems, while AI tools may also support hydrology, flood-risk assessment, and environmental decisions.

The useful question is not whether AI is good or bad in the abstract, but which application, under what conditions, compared with which alternatives—and with what accountability.

Living Contribution