Risk and Reward: Building a Thoughtful Process for Working with AI

A clip from our spring 2025 GenAI workshop for mission-driven teams, with AlignIQ founder Dan Garmat. Recorded May 2025.

Experimenting means accepting misses while looking for the jackpots, and pairing that with a review process, both for the organization and for yourself.

Key takeaways

  • Part of experimenting is that some attempts won’t work. Accept that.
  • What you’re looking for are the jackpots, when it feels like going from doing math by hand to having a calculator.
  • Ethics starts from your organization’s values: decide how you’ll use AI and set up a review process.
  • A personal rule: if something needs to represent my voice, I don’t copy and paste. I make sure I understand it and put it in my own words. It takes longer, and the first draft still saves time.

Try this with your team

Write down your personal review rule for AI-assisted work in one sentence. Compare with colleagues: whose rule would you adopt for the team?

Going further

Turn personal rules into shared ones with Ethical AI Guardrails.

Transcript

Lightly edited from YouTube’s automatic captions for readability. Wording and order are the speakers’ own.

Part of this experimentation is that sometimes you try things and they don’t work. You have to embrace the fact that sometimes what you try isn’t going to be good. What you’re really looking for are the jackpots: the times when you test your AI assistant, or intern as it were, and something really awesome happens. You’re like, wow, this is amazing. I suddenly have essentially a calculator where before I was doing everything by hand.

Then, ethical considerations. It’s important to consider your organization’s values and how you’re going to use this. As an organization, you can establish a review process, and you can also have your own personal review process.

I’ve told you a little bit about mine, about my own voice. If it’s something that I want to represent my voice, I’m not going to copy and paste. I need to understand it: make sure I understand it, and then put it in my words. That process takes extra time, but you still have this assistant doing the first draft, coming up with new ideas, and consolidating information.

Want this conversation with your team?

We run hands-on workshops on responsible AI for nonprofits and mission-driven teams.