AI Governance for Nonprofit Boards
Artificial intelligence (AI) is reshaping how nonprofit boards operate. As the technology advances, boards face considerations that go beyond IT guidance and oversight, touching fiduciary duty and ethical governance.
AI Governance: A Core Responsibility
Leading sector publications emphasize that AI governance is now a core board responsibility. A board’s role should expand to help AI technology serve the mission and avoid potentially undermining it. This new responsibility broadens the focus beyond operational efficiency to include mission alignment, ethical leadership, and systemic equity.
It should be noted that the expectation is less about board members being involved with day-to-day technology initiatives and more about their role as advisors in creating policies and procedures to help the organization’s leaders in their work. The board’s guidance can empower leaders to implement and manage AI effectively.
Avoiding the Efficiency Trap
To achieve this, board members should avoid the “efficiency trap”, a tendency to prioritize cost-cutting over mission impact. They should support management in identifying ways to guard against algorithmic blind spots, where hidden biases in automated systems can quietly shape outcomes for beneficiaries.
Practical Steps for AI Governance
To strengthen oversight and equip the leadership team with ways to reduce risk and align AI adoption with the organization’s mission and values, boards can:
- Put mission before efficiency: Help align technology with organizational values and resist the efficiency trap by avoiding AI adoption solely for speed or cost savings.
- Address algorithmic blind spots: Request bias audits and fairness stress tests to help prevent the exclusion of marginalized communities.
- Codify responsibility: Use a responsible AI framework, such as the NIST AI Risk Management Framework, to identify guardrails for privacy, consent, and fairness.
Closing AI Knowledge Gaps
AI should not be managed from the sidelines. To build knowledge, trust, and alignment, organizations can:
- Upskill the boardroom: Recruit members with technology or data governance experience and invest in AI literacy for key team members.
- Make vendor accountability a requirement: Ask clear questions of your vendors about which models are used and how these models are trained to provide transparency and safeguard organizational integrity.
Including AI Risk in Governance and Strategy
AI-related risks, including data breaches, hallucinations, and bias, should be incorporated into enterprise risk management processes. Organizations are encouraged to establish clear escalation protocols for ethical breaches and confirm that cyber insurance policies address AI-related incidents.
Real-World Application: Sage Intacct
Sage Intacct is a leading accounting and enterprise resource planning (ERP) platform for many nonprofits. With over a decade in AI development, Sage has prioritized building transparency and trust in its technology. The platform combines AI-powered automation with built-in governance features, helping boards manage risk and maintain compliance without sacrificing innovation.
Built-In Trust with Explainable AI
The Sage AI Trust Label acts as a “transparency report” that addresses specific risk categories identified in nonprofit risk assessments, including an AI audit trail. This label provides transparent information about how AI functions across Sage’s products.
Ethical AI Use and Governance
Ethical AI use and adherence to regulatory requirements are essential. Sage Intacct offers:
- Built-in transparency: Explainable AI and compliance transparency through the AI Trust Label.
- Automated vigilance: Continuous anomaly detection and predictive insights for financial workflows.
- Data-driven foresight: Mission-focused dashboards and scenario planning to aid strategic decisions.
AI Governance Checklist for Nonprofit Boards
- Are AI initiatives aligned with mission, goals, and measurable outcomes?
- Has management translated the board’s AI policies into clear procedures, playbooks, and staff guidance?
- Does the organization have a responsible AI framework, vendor standards, and an AI acceptable-use policy?
- Are regular audits for bias, reliability, and overall model performance being conducted?
- Does the organization have business software that supports transparency, compliance, and responsible AI governance?
- Is AI use being communicated openly with donors, beneficiaries, and partners?
- Do staff have defined roles, responsibilities, and escalation paths for AI-related decisions or incidents?
- Is training available to staff as AI tools evolve?
- Does management check that AI-enabled workflows align with board-approved governance frameworks?
Key Takeaways
AI governance is now a core responsibility and fiduciary imperative. Boards that ask strategic questions and champion ethical frameworks and tools can help nonprofit leaders position AI as a driver of mission impact rather than a source of unchecked challenges.
By embracing ethical AI governance today, boards can help shape the nonprofit sector’s trust tomorrow.
How to Strengthen Your Nonprofit’s AI Governance
For organizations looking to enhance their AI governance, consider reaching out to professionals who specialize in nonprofit consulting services. Leveraging platforms like Sage Intacct can help foster responsible AI practices and enhance financial management.
