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Integration

📖 Lesson content

What you'll learn

Estimated time: 45 minutes

By the end of this lesson you'll be able to:

  • Integrate AI into your organization in ways that strengthen human capacity and advance your mission
  • Address concerns about AI dependency and preserving human connection
  • Create an organizational AI policy that reflects your values and ensures sustainable AI use

Integration

(5 minutes)

This video addresses two of the most common concerns nonprofit professionals have about organizational AI adoption: How do I avoid becoming too dependent on AI? And how do we balance efficiency with the human touch? The video introduces the concept of being "the human in the loop" and what that means specifically for mission-driven organizations. It then walks through the key elements of an organizational AI policy that can help you scale AI Fluency across your team.

Key takeaways

  • Being "the human in the loop" means more than oversight: In the nonprofit context, it means ensuring AI serves your mission—you decide what problems AI should help solve, you evaluate whether solutions align with your values, and you maintain the relationships and real-world impact that define nonprofit work
  • Avoid dependency through understanding, not avoidance: Regularly reflect on your processes and ask "can we explain what the AI is doing?" If yes, that's healthy augmentation. If not, rework your processes until you can
  • AI should free you for more human work, not less: At its best, AI cuts through noise so you can focus on the handwritten card, the personalized outreach, the time spent with individuals in your community. At worst, it automates that human touch away
  • Set cultural norms around productivity early: As you bring AI into your organization, discuss expectations about what happens with time saved to ensure everyone feels good about the work AI is supporting
  • An AI policy helps scale your understanding: A policy documents your decisions about platforms, task delegation, quality oversight, transparency, and values alignment so the whole organization can work consistently

Exercise: Draft your organizational AI policy

This exercise brings together everything you've learned in this course to create a practical document that can guide AI use across your organization.

Part I: Platform awareness

Answer these questions to establish your technology guidelines:

  • Which AI tools will your organization use? Which are prohibited?
  • What data retention and training policies are acceptable for different types of work?
  • What sensitivity levels require different tools or protections?
  • How will you stay informed as tools and policies change?

Part II: Task delegation

Define the boundaries of AI use:

  • What types of work are appropriate for AI assistance?
  • What work should stay fully human? Why?
  • Who decides when a new use case is appropriate?
  • How do you handle gray areas?

Part III: Expectations and capacity

Address the human side of AI integration:

  • How will time saved through AI efficiency be redirected?
  • What are realistic expectations for different roles?
  • How will you build AI capacity across the team (not just one "AI expert")?
  • What happens when AI-based workflows fail?

Part IV: Quality and oversight

Establish accountability:

  • Who reviews AI outputs before they're used or shared?
  • What verification steps are required for different types of content?
  • What happens when AI makes a mistake?
  • How will you monitor for problems over time?

Part V: Transparency

Decide how you'll communicate AI use:

  • What do stakeholders, funders, and those you serve need to know about your AI use?
  • How will you disclose AI involvement in specific outputs?
  • What's your approach to AI attribution in grants, reports, and communications?

Part VI: Values alignment

Connect AI use to your mission:

  • How do you ensure AI serves your mission rather than the other way around?
  • What values and ethical principles guide your AI decisions?
  • How will you maintain dignity and respect in AI-assisted work with vulnerable populations?
  • When should you choose not to use AI, even if it would be more efficient?

Part VII: Compile and review

Work with AI to synthesize your answers into a draft policy document:

  • Share your responses and ask AI to help organize them into a clear, usable policy
  • Review the draft for completeness and alignment with your organization's voice
  • Identify any gaps or areas that need further discussion with your team
  • Plan how you'll introduce and revisit this policy as your organization's AI use evolves

Lesson reflection

  • How has your thinking about AI integration changed from the beginning of this course?
  • What's one thing you'll do differently in your work with AI based on what you've learned?

Feedback

We'd love to hear from you about how you're using concepts from this course in your work and any feedback you may have. Share your feedback here.

🎬 Video transcript

Source video: rl8lEM-uyrQ

📜 Click to expand transcript (cleaned + AI-translated)

The Role of AI in Nonprofit Organizations

Throughout this course, you've learned how to think about using AI for grant writing, donor communications, data analysis, and augmentation. You've practiced the 4D framework in the context of nonprofit work. But AI isn't just a new technology; it's transforming the way our world operates. As such, it's important to evaluate AI as it relates to your organization's ways of working, your culture, and community impact.

In this video, we'll address two big questions we've heard from nonprofit organizations:

  1. How do I make sure I don't become too dependent on AI?
  2. How do we balance efficiency with the human touch?

Being the "Human in the Loop"

The answer to these questions comes down to the same principle: being the "human in the loop." The term "human in the loop" has been popularized in the AI world, and it can sound a bit vague, but it basically refers to the idea that in every AI interaction, the human is the one making the decisions and steering the ship.

In the nonprofit context, it means something more. You're the one who ensures AI serves your mission, not the other way around. You decide what problems AI should help solve. You evaluate whether solutions align with your values and, critically, you maintain the relationships and real-world impact that is the foundation of nonprofit work.

Addressing Key Concerns

Avoiding Over-Dependency on AI

How do you avoid becoming too dependent on AI? In many ways, this question gets at the part of AI that makes it fundamentally different from other technologies. It isn't programmed in the same way your CRM is. A single input will produce a slightly different response every time you enter it.

That's one reason why it's up to you, the human in the loop, to understand where and why you're using AI and what acceptable use looks like for you and your team. This is why we have to be diligent in every individual usage. One way to do this is to reflect on your processes on a regular basis. Ask yourself: "Can we explain what the AI is doing?"

If you can, great—that's healthy augmentation with a human appropriately involved. If not, it might be worth reworking your processes until you can. The goal shouldn't be to avoid AI dependency entirely; it's creating policies, processes, and ultimately making decisions that make your organization stronger.

Balancing Efficiency with the Human Touch

Whatever work you do, you got into it because you care. At its best, AI can help you cut through noise and roadblocks to focus on the bits that often get forgotten: the handwritten card, the personalized mailing, or the time spent with an individual in your community. At worst, it automates that human touch away.

It's important to remember that AI cannot do your human work. It can help write a first draft of an email, but it doesn't know the recipient in the way that you do. As you bring AI into your organization, it's important to set and reflect on the cultural norms around productivity expectations early and often to ensure you feel good about the work AI is supporting.

Implementing Organizational AI Policies

This brings us to the practical application: creating an organizational AI policy. Throughout this course, we've worked to equip you with a deeper understanding of the AI fluency framework to help guide your interactions with AI. An AI policy can help you scale and enforce this understanding throughout your organization.

Key Elements of an AI Policy

As you write your policy, consider the elements we've talked about in this course:

  • Platform Awareness: Which AI tools are allowed? What data retention and training are you okay with, and in what scenarios?
  • Task Delegation: What work gets AI assistance? What stays fully human?
  • Expectations and Capacity: How do you redirect time saved? What are realistic expectations for individuals in different roles?
  • Quality and Oversight: Who reviews AI outputs? What happens when things go wrong?
  • Transparency: How do we communicate AI use to stakeholders, funders, and those we serve?
  • Values Alignment: How do we ensure AI serves our mission and maintains dignity?

The Essence of AI Fluency

Remember that your specific talents, life experiences, knowledge, the way you see things, and your relationships with people shape how you understand and respond to the world in ways that are completely your own.

AI can help you be aware of and express these qualities more effectively. It can help you learn faster, communicate more clearly, and solve problems more creatively. But it can't replace that human instinct, judgment, and the care that you bring to everything you do. That's what AI fluency really means for nonprofits. And that's the work only you can do.

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