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Policy Design in the AI Era
Most workplace policies were written for a world where tools changed slowly. That world is gone. This is a guide for leaders who know AI governance matters and aren't sure where to begin. 10 principles for designing policy that protects your people, your mission, and your trust.
Sarah Downey
2 days ago7 min read


Before Your Team Uses ChatGPT: The Board-Ready AI Policy Checklist
Nonprofit teams are already using ChatGPT, often without shared boundaries. This board-ready checklist helps you set practical guardrails on data, allowed use-cases, human review, vendor risk, incident response, and policy review so staff can use AI safely without gambling trust.
Sarah Downey
Jan 226 min read


The Future of AI Depends on Who Builds It: Why Representation Matters
Nonprofits understand trust, care, and human-centered systems — and women lead much of this sector. This piece reflects on why those voices must help shape the AI systems influencing our social future.
Sarah Downey
Nov 8, 20253 min read


What It Really Takes to Write with AI: Ethics, Edits, and Human Discernment
"Yes, I use AI. No, that doesn’t mean I don’t do the work." This piece unpacks what real writing looks like when tech is a partner—not a shortcut.
Sarah Downey
Sep 4, 20254 min read


Mindful AI Adoption: A Wake-Up Call for Nonprofits
In a world where technology adoption often outpaces ethical consideration, nonprofits face unique challenges when integrating AI. This article explores how mission-driven organizations can create meaningful AI policies that reflect their values while avoiding bureaucratic pitfalls. Learn practical approaches to developing guidelines that protect your mission while embracing innovation.
Sarah Downey
Jun 30, 20253 min read


AI, Energy Use, and the Coffee Dilemma
Why energy stats don’t tell the whole story - and what mindful AI use could look like
Sarah Downey
May 29, 20254 min read


Do Nonprofits Need an AI Policy? Yes and Here’s Why
AI is changing how nonprofits work. A clear AI policy helps protect data, align decisions with your values, reduce bias risks, and show stakeholders you’re approaching AI responsibly.
Sarah Downey
Apr 21, 20252 min read
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