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AI Ethics for Nonprofits: 7 Risks Every Leader Must Know

  • Writer: Kenneth McQuiller
    Kenneth McQuiller
  • 5 days ago
  • 7 min read

What ethical risks should nonprofits consider before using AI?

Nonprofits should evaluate how artificial intelligence affects privacy, accuracy, bias, human dignity, transparency, intellectual property, environmental stewardship, and organizational accountability.

AI can help an organization brainstorm ideas, organize information, draft communications, develop plans, and reduce repetitive work. However, it cannot understand a nonprofit’s mission or carry its moral responsibilities in the same way its leaders can.

For faith-based and community-serving nonprofits, this is ultimately a question of stewardship. How can we use powerful technology without compromising the people, information, relationships, and missions entrusted to us?

Here are seven ethical concerns nonprofit leaders should address, followed by three practical steps for developing responsible AI guardrails.

1. Privacy and confidentiality

Nonprofits regularly handle sensitive information, including:

  • Client and participant records

  • Donor information

  • Employee documents

  • Financial information

  • Medical or benefits-related information

  • Stories shared by vulnerable individuals and families

Team members may unintentionally place this information at risk by copying it into an AI platform without understanding how the platform stores, processes, or retains user data.

Different AI products and account tiers offer different privacy protections. Nonprofit leaders should review the terms and data controls of every approved platform instead of assuming that all AI tools handle information in the same way.

A helpful starting rule is simple: never enter confidential or personally identifiable information into an unapproved AI system.

Remove names and identifying details whenever possible. If a task requires sensitive information, use an approved system with appropriate privacy and security protections—or do not use AI for that task.

2. Accuracy and misinformation

Generative AI can produce confident, polished responses that are still incorrect.

An AI tool may invent statistics, misrepresent a source, provide an outdated answer, or generate a citation that does not exist. This is sometimes called an AI hallucination.

For nonprofits, an incorrect answer can affect:

  • Grant applications

  • Donor communications

  • Program reports

  • Board materials

  • Community education

  • Financial decisions

  • Public statements

AI-generated writing should always receive qualified human review. Every statistic, quotation, claim, and citation should be verified before the content is submitted or published.

This is especially important in grant writing. AI can help organize information and create an initial draft, but it should not be trusted to invent needs data, program outcomes, partnerships, or organizational history.

The grant writer’s role is not eliminated by AI. It becomes even more important because someone must evaluate the accuracy, strategy, clarity, and integrity of the final application.

3. Bias and unfair decision-making

AI systems learn from information created by people, which means they can reproduce human assumptions and biases.

Bias can appear in seemingly neutral tasks such as:

  • Screening employment applications

  • Ranking prospective donors

  • Evaluating employee performance

  • Determining who appears “high risk”

  • Deciding who should receive services

  • Describing a neighborhood or population

An AI-generated recommendation may sound objective because it came from a computer. That does not make it fair or accurate.

AI can assist with organizing information, but it should not independently make decisions that affect someone’s employment, services, opportunities, or treatment.

A responsible process includes human review, documented decision criteria, and a way to challenge questionable results.

4. Dignity, authenticity, and transparency

Nonprofits often share stories to demonstrate needs, communicate results, and raise financial support. Those stories must preserve the dignity and agency of the people being represented.

AI makes it easy to exaggerate a story, create a fictional quotation, generate a dramatic image, or portray someone as helpless to produce a stronger emotional reaction.

The fact that a story generates donations does not automatically make its use ethical.

Nonprofits should never fabricate a participant’s experience or manipulate someone’s hardship for fundraising purposes. Obtain appropriate permission, protect identifying details when needed, and allow people to be represented as whole human beings rather than fundraising objects.

Transparency matters too. If an image, quotation, voice, or substantial piece of content was generated artificially, the audience should not be led to believe it documents a real person or event.

Trust is one of a nonprofit’s most valuable assets. Misleading content can damage that trust quickly.

5. Ownership and intellectual property

AI-generated content creates complicated questions about ownership, licensing, and copyright.

These questions can affect:

  • Images

  • Music

  • Videos

  • Written materials

  • Logos

  • Training resources

  • Website content

Before using AI-generated material publicly, determine whether the platform’s terms permit the intended use. Do not assume that content is safe simply because an AI tool produced it.

Avoid asking AI to imitate a specific living artist or copy recognizable copyrighted material. Keep records of which tools were used and retain any available licensing information.

AI can accelerate the creative process, but nonprofits remain responsible for ensuring that the finished product respects the work and rights of others.

6. Environmental stewardship

AI tools run on data centers that consume electricity, water, and other resources. One prompt may feel insignificant, but widespread and unnecessary use has a cumulative environmental cost.

That does not mean nonprofits must abandon AI completely. It means leaders should use it intentionally.

Organizations can reduce unnecessary use by:

  • Beginning with a clear prompt

  • Avoiding dozens of nearly identical generations

  • Reusing approved materials

  • Selecting the appropriate tool for the task

  • Asking whether AI is actually needed

For faith-based organizations, environmental responsibility can be understood as part of creation care and responsible stewardship.

Efficiency is valuable, but efficiency should not become wastefulness simply because the cost is difficult to see.

7. Human responsibility

AI does not carry morals, understand your calling, accept legal responsibility, or answer to the people your nonprofit serves.

People do.

Boards, executive leaders, staff members, and volunteers remain responsible for how technology is used and what it produces.

AI should not become a nonprofit’s moral compass, counselor, executive director, or final decision-maker. It can help leaders gather ideas and examine options, but it cannot replace wisdom, prayer, experience, community accountability, or human relationships.

The biblical account of Aaron and the golden calf offers a helpful accountability lesson. Blaming the process or the tool does not remove human responsibility for the result.

Leaders cannot simply say, “The AI created it.” If an AI-assisted decision harms someone or communicates something false, the organization still owns that outcome.

Three steps for responsible nonprofit AI use

Recognizing the risks is only the beginning. Nonprofits also need practical guardrails.

Step 1: Define permitted and prohibited uses

Create a simple framework explaining where AI may and may not be used.

Permitted uses might include:

  • Brainstorming

  • Creating outlines

  • Organizing nonconfidential information

  • Drafting internal ideas

  • Summarizing approved documents

  • Developing first drafts for human review

Prohibited uses might include:

  • Uploading confidential information

  • Fabricating participant stories

  • Making final hiring decisions

  • Making eligibility decisions

  • Impersonating a real person

  • Publishing unverified claims

  • Creating misleading images or quotations

A written list gives staff clearer guidance than a general instruction to “use AI responsibly.”

Step 2: Create a formal AI-use policy

A nonprofit AI policy should address:

  • Approved platforms

  • Data and privacy restrictions

  • Required human review

  • Fact-checking expectations

  • Acceptable and prohibited tasks

  • Copyright and licensing

  • Transparency and disclosure

  • Decision-making authority

  • Accountability when something goes wrong

The policy should reflect the organization’s actual programs, risks, and values. A small food pantry and a large healthcare organization will not need identical policies.

The board should understand the organization’s approach, especially when AI use could affect governance, employees, participants, or sensitive information.

Step 3: Train the team and assign accountability

A policy is ineffective if no one understands or follows it.

Train staff and volunteers to recognize:

  • Confidential information

  • Fabricated sources

  • Biased outputs

  • Misleading language

  • Copyright concerns

  • Situations requiring disclosure

  • Tasks that require human approval

Assign someone to oversee AI governance. Depending on the organization, that may be the executive director, operations leader, program director, or another designated staff member.

The policy should also be reviewed regularly. AI tools and their terms change quickly, so responsible governance cannot be treated as a one-time project.

Questions to ask before using an AI tool

Before adopting a tool or using AI for a new task, ask:

  1. Does this require sensitive or identifying information?

  2. Do we understand how the platform uses and retains our data?

  3. Will a qualified person review the output?

  4. Could the result affect someone’s services, employment, or dignity?

  5. Are the facts and sources verifiable?

  6. Do we have permission to use the generated material?

  7. Does this use align with our mission and organizational values?

  8. Who is accountable for the final result?

If your team cannot answer these questions confidently, pause before proceeding.

Frequently asked questions

Can nonprofits use ChatGPT for grant writing?

Yes. AI can help brainstorm, organize information, map responses to application questions, and develop preliminary drafts. However, a qualified person must verify every fact, statistic, source, outcome, and organizational claim. Confidential client or donor information should not be entered into an unapproved platform.

Does our nonprofit need an AI policy?

If employees or volunteers use generative AI for organizational work, a written policy is advisable. It creates consistent expectations for privacy, fact-checking, human review, transparency, and accountability.

Should nonprofits disclose AI-generated content?

Disclosure is especially important when an audience could reasonably mistake generated material for a real image, quotation, voice, person, or event. The appropriate disclosure will depend on the context and how substantially AI contributed to the finished work.

Can AI make decisions about employees or participants?

AI may help organize information, but it should not independently make decisions affecting employment, program access, benefits, or services. These decisions require transparent standards and accountable human judgment.

Is AI-generated material automatically free from copyright restrictions?

No. Usage rights and licensing terms vary across platforms and types of content. Review the platform’s current terms and confirm that the material may be used for your intended purpose.

AI should support your mission—not replace your judgment

Artificial intelligence can become a valuable nonprofit tool when it is used with clear boundaries. It can save time, generate ideas, and support administrative work.

But AI cannot carry your organization’s values or accept responsibility for its decisions.

Responsible nonprofit leaders will treat AI as an assistant rather than an authority. They will protect sensitive information, verify claims, preserve human dignity, respect intellectual property, and keep accountable people at the center of every important decision.

That is not resistance to innovation. It is responsible stewardship.

Strengthen your nonprofit’s strategy

Nonprofit Missionary helps faith-based nonprofits strengthen their funding strategies, grant writing, and organizational systems.

Visit https://nonprofitmissionary.com to learn more.

Stay focused. Stay funded.

 
 
 

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