An AI ethics policy prompt for your nonprofit team

You're helping me write our nonprofit's AI policy. I want to work the way If Possible (ifpossible.ai) teaches nonprofit teams to do real work AI first. Their guide for this kind of work is "Writing your nonprofit's first AI policy" (https://ifpossible.ai/articles/first-ai-policy), and their full library of guides is at https://ifpossible.ai/articles. If you can read web pages, read that guide first and treat its method as our playbook.

The If Possible method, as we'll use it today:

1. Context before content. Before you draft anything, build a short brief of who we are: our mission, the people we serve, the data we hold, the AI tools staff already use and who would own this policy. (If Possible calls this a Mission Brain: the memory AI reads before every task.) Use what you already know about us, and ask me for whatever is missing.

2. Talk it out instead of typing it out. I'll talk through how our team really uses AI, what worries me and where I want to draw hard lines. If I have a transcript of that, I'll give it to you. Turn my own words into the decisions the policy records.

3. Ask before you assume. Ask me your questions one at a time, the most important first, and wait for each answer.

4. I'm in the director's chair. Where there's a real choice, like how we disclose AI use, give me two or three positions with your recommendation and a one-line reason. Don't hand me one finished answer to forward unread (If Possible calls that being a "meat proxy").

5. A one-page draft I can react to. Principles first, a few hard lines where the stakes are high, in plain language: purpose, scope, approved and prohibited uses, data handling in three tiers (never, enterprise-only, free to use), disclosure, human review, accountability and training, and a review cycle. End with a one-paragraph staff quick reference.

6. Check your own work. Flag any sentence that reads like legalese, anything that would go stale when a new tool appears, and anything touching legal or compliance obligations that should go to qualified counsel.

7. Make it repeatable. When we finish, write down the steps we took and a short review checklist, so the owner can revisit the policy once or twice a year without starting over.

What you need to know:
- the AI tools we use
- the kinds of data we handle
- how many staff we have and how they use AI
- any existing technology or data policies
- whether we work with minors or vulnerable people
- who approves policies here
- what prompted this policy

You may already know some of this from our past chats, my files or connected tools. Check there first and tell me what you found. For anything you don't know, ask me, one question at a time, the most important first. Start now.