5 Essential Safeguards for Nonprofits Using AI to Analyze Donor and Business Data
Artificial intelligence is transforming how nonprofits analyze data, forecast trends, and generate insights. From donor modeling and audience segmentation to financial reporting and strategic planning, AI can improve efficiency and decision-making.
However, these opportunities also create important risks.
Organizations that handle donor information, financial records, employee data, and other sensitive information must establish clear policies governing how AI can be used. A strong AI policy protects both the organization and the people who trust it with their information.
AI policy must be built upon a foundation that appropriately restricts the use of personally identifiable information (PII). Requiring donor data to be anonymized, limit the use of sensitive financial information, and emphasize the need for human validation of AI-generated analysis.
Beyond these initial steps, nonprofits should consider five additional safeguards.
1. Clearly Define Approved AI Tools
One of the most common risks organizations face are employees independently experimenting with AI platforms that have not been reviewed by IT, Legal, or Security teams.
A strong policy should identify which AI tools are approved for organizational use and establish a formal process for evaluating and approving new platforms. Employees should not use unapproved AI tools for organizational business.
Without clear guidance, organizations can lose track of where data is shared and stored.
2. Expand Restrictions on Confidential Information
In addition, many AI policies focus on financial data and PII but overlook other forms of sensitive information.
Organizations should explicitly prohibit employees from entering confidential materials into AI systems, including strategic plans, donor lists, contracts, employee records, performance evaluations, internal communications, and other proprietary information.
Protecting confidential information requires a broader approach.
3. Address Data Retention and AI Training Risks
Many AI platforms retain prompts, user inputs, and uploaded files. This information is used to improve or train future AI models.
Before using an AI platform, organizations should understand how it stores, retains, shares, and uses data for model training.
Policies should require that any AI platform handling organizational information be reviewed and approved by both Legal and IT departments to verify that data will not be retained, shared, or used for training without explicit authorization.
4. Establish Incident Reporting Procedures
Even with strong safeguards, mistakes happen.
Employees should know exactly what steps to take if confidential information is accidentally entered into an AI platform or if a potential data exposure occurs.
Clear reporting procedures allow organizations to respond quickly, assess risk, notify appropriate stakeholders, and take corrective action before a minor incident becomes a major problem.
5. Implement Access Controls
Not every employee needs the same level of access to AI tools or sensitive information.
Organizations should establish appropriate approval, and oversight processes. Define who is authorized to use AI with donor, financial, or other sensitive data.
Access controls help reduce risk, improve accountability, and prevent uncontrolled use of AI across the organization.
Building a Responsible AI Framework
Ultimately, AI can deliver tremendous value to nonprofits, but success requires more than enthusiasm for new technology. It requires thoughtful governance, clear policies, and strong safeguards that protect donor trust and organizational integrity.
By implementing these five recommendations, organizations can strengthen their AI policies while maximizing AI benefits.
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