Artificial intelligence is making inroads into NGOs. From drafting grant proposals and project reports to making contacts with donors and crunching data, NGOs are developing innovative ways to leverage AI.
Still, one big question lingers in the face of rising adoption: Is a nonprofit ready to do it well?
Based on the figures from the industry listed for this particular matter, 92% of charities are leveraging AI apps, and 47% are functioning without a policy for in-house AI administration. These statistics highlight a rising issue: organizations are rapidly leaping on the AI bandwagon without any clear rule about how to manage them. Please see the original survey for accuracy before publishing.
This is critical for NGOs because of the sensitive information their work is frequently centered on, the lack of resources in many cases, and the expectations of donors and the communities they serve. Without guidance, there are risks of using AI that go beyond just the organization’s day-to-day work.
The problem is not stopping AI from being used. The problem is having a knowledge of what it can and can’t do, creating at least some reasonable safeguards, and designing it to work for the mission of the organization.
What Is AI Governance?
AI governance refers to the set of guidelines, policies, and processes an organization adopts for the use of artificial intelligence. It aims to ensure the safety, fairness, transparency, and responsible use of AI technologies.
AI governance defines which tools can and cannot be used by your team; What data can they share? How to verify content created using AI: Who makes the final decision?
For example, an NGO might employ AI to generate a draft for a funding proposal or to produce a brief on a research report. While these will be faster for an NGO to do than if they wrote them themselves, they still will need fact-checking before any use.
If an NGO uses AI to collate information of beneficiaries, it needs to reflect on if the tool secures beneficiary data and if the tool is suitable to fulfill that function.
Lack of standards can also lead employees to make inconsistent choices in how they use AI. Some might be aware of the potential for harm, while others may accidentally share sensitive data or trust an AI’s wrong answer.
AI governance gives NGOs a clear framework for using technology without compromising their responsibilities.
Why Are NGOs Adopting AI Faster Than They Are Creating Policies?
Many nonprofits operate with small teams and limited budgets. Their priorities are often focused on delivering services, raising funds, managing projects, and meeting donor requirements.
When AI tools become available, staff members naturally look for ways to use them to reduce their workload. However, creating an AI policy may not seem urgent until a problem occurs.
There are several reasons behind this gap.
1. Limited resources and technical expertise
Small NGOs may not have dedicated IT teams or technology specialists. Their employees often handle multiple responsibilities, leaving little time to research AI risks or develop formal policies.
As a result, staff may begin using AI tools independently without a shared understanding of what is safe and appropriate.
2. Easy access to AI tools
Many AI tools are available online, and some can be used for free. Employees can quickly start generating content, summarizing documents, or translating information without going through a formal approval process.
Although this accessibility is useful, it also makes it easier for organizations to overlook privacy, security, and accuracy concerns.
3. Lack of awareness about AI risks
Some NGOs view AI mainly as a writing assistant. However, its risks extend beyond incorrect information.
AI tools may produce biased recommendations, generate misleading statistics, expose sensitive data through inappropriate use, or create content that does not accurately represent a community.
Understanding these risks is essential before introducing AI into important organizational activities.
4. Unclear accountability
When an NGO has no AI policy, employees may not know who should approve a tool, check its output, or respond when something goes wrong.
This can create confusion, especially when AI is used for fundraising, financial planning, public communication, or decisions that affect beneficiaries.
The Biggest AI Risks NGOs Need to Understand
AI can help NGOs work more efficiently, but responsible use requires understanding where things can go wrong.
Protecting beneficiary data and privacy
NGOs often have personal information on individuals, such as people’s names, addresses, contact details, family situations, health records, financial hardship, or orphans and vulnerable children (or families) in their programs.
Not knowing how AI tools are handling the data can threaten this very same data.
Think of an NGO helping victims of domestic violence. An employee could enter case notes into an AI to get a quick summary. If there’s text with names, addresses, or shelter locations, mishandling that data could put people at risk of serious injury.
This issue is equally true for NGOs serving children, working with refugees, with people with disabilities, or working with violent or impoverished communities.
Define what information can be submitted to AIs. Prohibit the submission of sensitive or personally identifiable information. If they can’t prohibit it, staff should submit anonymized information and review providers’ privacy and security policies before using a tool.
Protecting the personal data of the people the NGO works with is not just about technology. It’s about respecting the dignity, safety, and trust of the people the NGO supports.
Maintaining accuracy in proposals and reports
AI may support NGOs to write up grant proposals, concept notes, project reports, and funding requests. Yet, it can produce inaccurate facts, off-date information, unfavorably high budgets, or statistics with no sources.
This can be a real concern, especially when organizations are operating within strict donor constraints.
For instance, if a proposal generated by the AI references a number of beneficiaries that was not a proper estimate or discusses an activity that the NGO has not included in its planning, the team could submit the document without realizing the mistake. This could affect the funding process or the reputation of the NGO.
Don’t let AI do all your work: Artificial intelligence can be used as an initial draft or draft of work, but NGOs should conduct fact and calculation checks on proposed projects and other work and review all sources before sharing information with donors.
AI may assist in drafting documents, but the company is ultimately accountable for the information that it releases.
Preventing bias and unfair decisions
AI can learn bias from training data or given data. Recommendations may therefore not truly represent any community.
This is relevant when NGOs use technology to facilitate processes such as selecting beneficiaries, learning programs, employment initiatives, health interventions, and financial provision.
For example, an AI system may recommend to managers that they should rank applicants first by postcode, without considering the possibility that rural residents may face difficulties applying. Managers may follow the recommendation without reading it and miss out on an eligible candidate.
NGOs must not let AI determine significant decisions about people’s ability to access basic necessities.
Local understanding matters in this section. Local community workers have information about cultural differences, local barriers, and specific circumstances that a computer system might not know about.
Maintaining donor trust and transparency
Donors rely on NGOs to be truthful about what they do, how they spend their money, and what difference they make. As AI increases its prevalence in fundraising and reporting, organizations need to safeguard that this confidence is not damaged.
In an outreach context, AI can be used to create draft donor emails, assist in the creation of campaign messages, or compile impact reports. AI should, however, be avoided when it comes to imagining stories from the beneficiaries, raising the scale of project achievements, or stating something as a fact that you haven’t confirmed yet.
Organizations should double-check AI-generated communications and be transparent about such content when it is material to the information being disclosed or the donor’s or other applicable rules.
Trust takes time to establish, but falsehood destroys it in an instant.
Understanding legal and ethical responsibilities
NGOs still hold responsibility for their actions.
In some countries, or based on the nature of the data being processed or the purpose of the tool, organizations will also need to take into account data protection laws, confidentiality requirements, donor conditions, and other relevant obligations.
For instance, when using an AI service that involves processing personal information, a non-governmental organization should be able to identify if that use is compatible with the privacy policy and with its commitments to beneficiaries.
Companies need to assess these requirements prior to utilizing AI for sensitive tasks and seek legal expertise in these areas when required.
How Can NGOs Build a Simple AI Governance Policy?
Creating an AI governance policy does not have to be expensive or complicated. Small NGOs can start with a short document that explains how staff should use AI tools in their everyday work.
The important thing is to establish clear expectations that everyone understands.
1. Identify where AI is already being used.
Understand how employees are using AI. The initial step is to comprehend how AI is employed by employees.
Find out which tools your staff uses and what tasks they do with them. Examples could be drafting proposals, creating budgets, writing social media posts, translating documents, researching donors, and creating summaries of reports.
This review will assist the organization to identify effective practices and risks.
It could also highlight that employees are trying to accomplish the same thing using a variety of tools and allow the opportunity to create a more consistent methodology.
2. Create a list of approved AI tools
Use only the best AI tools for your work, and have NGOs choose the AI platforms that work for them.
Prior to approving a device, look into its: privacy controls, how it keeps information safe, what information it keeps, its terms of service, and whether it’s appropriate for the activity.
Something that is good for putting out a public blog is possibly not suitable for sensitive beneficiary records.
Having an approved list means employees will have better guidance and it will also reduce the chance of sensitive material going to the wrong site.
3. Establish clear data protection rules
The policy should make clear what is permissible and not permissible for staff to share with AI tools.
For instance, employees must not input passwords, confidential financial data, personally identifiable beneficiary records, or sensitive case information into un-authorized systems.
NGOs should remind their staff to strip any identifying information when working with examples for draft or analysis.
These guidelines are especially relevant for organizations working with children, abuse victims, refugees and other vulnerable groups.
4. Make human review mandatory
AI-generated content with an appropriate level of human review before making use of it.
For social media, this could involve verifying the facts, tone and relevance of posts. For a grant application or funders report, the review could include project details, calculations, donor criteria and supporting documentation.
The amount of review should be commensurate with the potential impact of a mistake.
AI is here to facilitate workers doing their jobs, not do them for them.
5. Assign responsibility for AI use
Any NGO must have a person tasked with overseeing their use of AI. This may be a manager or project lead in a small NGO.
The delegated individual can assist with approving tools, answer staff questions, check policies, and coordinate responses to AI incidents.
Employees will also need to know how they should go about bringing issues to your attention – for example, when they reveal sensitive information when sharing on a video call, or when an AI-generated report includes inaccuracies.
Responsible clearly defined helps prevent small problems from becoming big problems.
6. Train employees and update the policy
You don’t need to write an AI policy if no one on staff will read it.
NGOs may also conduct brief workshops on how to ensure data is safeguarded, identify fake AI content, highlight potential bias and when to involve human decision-makers.
It does not have to be very technical. Bring a practical perspective, with examples from day-to-day NGO activities.
The policy should also be reviewed periodically as tools and organization needs change and regulations evolve.
How AI Governance Can Help NGOs Work Better
AI governance is seen as a way to mitigate risk, it can also enable organizations to get the most from technology.
If staff know what tools they are able to use and how to use them correctly, they will be able to work with more confidence. Guidelines will reduce uncertainty, minimise mistakes and avoid having to repeat internal procedures.
For example, an NGO that has established a process for using AI in proposal writing might enable its staff to generate draft proposals faster, while verifying project details, budgets, and donor guidelines prior to submission.
In the same way, a firm policy on AI assisted communication can streamline the process for your staff when they get ready to prepare your content without losing your brand’s voice or damaging its reputation.
Good governance will also guide NGO leaders in understanding where AI is really needed and where a human touch is essential.
It’s not necessary to experiment with every new application, but rather to use technology that solves a pressing challenge and aligns with the organization’s mission.
How NGOs.ai Can Support Responsible AI Adoption
For NGOs, the role of AI is to alleviate administrative burdens and free up time to be spent on more meaningful activities.
Services like NGOs.ai provide tools to help with typical tasks in the nonprofit world, such as proposal writing, concept note creation, budgeting and even guidance powered by AI.
Sample Proposal Generator – Can assist a organization come up with a draft of a proposal. Concept Note Generator – Can assist a organization organize a concept for the project. The AI Budget Builder – Can assist an organization organize proposed expenses of the project.
This may also be useful for smaller NGOs that don’t have their own grant-writing and fundraising departments.
Yet, it’s important to use AI responsibly. Organizations should check the product, fact-check key information, ensure sensitive data is kept safe and confidential, and tailor the documents to each donor.
AI can’t promise to fund, take the place of NGO knowledge of its community, or make every decision. But the most compelling results happen when technology harnesses human knowledge and experience.
Through the use of practical AI solutions, a good ethical positioning, and transparent internal rules, non-profit organisations have time for what matters – without taking their eye off quality, accountability, and the community.
The Future of AI in the Nonprofit Sector
Clearly, the technology will be useful to nonprofits in the day-to-day running of the organization. AI has the potential to facilitate information management, communication, filings for funding, and to streamline workflows.
But greater adoption also brings greater responsibility.
NGOs must find a way to ensure that these gains are not made at the expense of privacy, fairness, transparency, and public confidence.
By setting down standards now, organizations will be better positioned to evaluate new systems and tools, train their people, and manage risks.
It doesn’t imply every NGO requires an extensive tech budget or a complex governance structure. A smaller organization can start with charting AI use, establishing some simple rules, safeguarding data, and making staff responsible for checking critical results.
These measures build a foundation that can expand with your organization.
Conclusion: Responsible AI Starts With Clear Rules
The gap between AI adoption and AI governance highlights an important lesson for the nonprofit sector: using technology and managing it responsibly are two different things.
AI can help NGOs save time, improve administrative efficiency, and focus more attention on the communities they serve. However, without clear policies, organizations may expose themselves and their beneficiaries to avoidable risks.
The answer is not to reject AI. It is to adopt it thoughtfully, with appropriate safeguards, informed employees, and human oversight.
For NGOs, responsible AI use should begin with a simple question: Are we using this technology in a way that protects the people we serve and strengthens the work we do?
By putting clear rules in place, nonprofits can make AI a valuable part of their operations while maintaining the trust, accountability, and human connection at the heart of their mission.
NGOs.ai — Practical AI Tools for Purposeful Work.
Remove the unpublished survey disclaimerMake the opening more engaging
