This article summarises our webinar, ‘A Governance Led Approach to AI For Nonprofits.’ Our speakers were:
Rob Dawson – Head of Business Development at Myrtec, with a background in sysadmin, document management, and software integration.
Pathum Bandara – Microsoft Tech for Social Impact Manager at Pax8, with 5+ years in the Nonprofit tech space.
You can access the slides here or watch the recording here.
Mission Alignment: AI helps tailor strategies to nonprofit goals.
Fundraising: AI identifies potential donors and personalises outreach.
Operational Efficiency: Automates tasks, improves data handling, and enhances decision-making.
Why It Matters: Nonprofits handle sensitive data (donors, beneficiaries) and operate under tight budgets.
Transparency: How AI makes decisions.
Accountability: Who is responsible when AI fails.
Fairness: Avoiding bias.
Security & Privacy: Compliance with data laws.
Hub & Spoke Model: Centralised data storage (hub) with external tools (spokes) feeding into it.
Data Ingress/Egress: Understand how data enters and exits your systems.
Embedded vs. Standalone AI: Embedded (e.g., Microsoft Copilot) = safer, internal access.
Standalone (e.g., ChatGPT) = higher risk, external data exposure.
Approved Tools & Use Cases: Define what’s allowed (e.g., Copilot for internal docs, ChatGPT for brainstorming).
Data Privacy Rules: Restrict sensitive data sharing.
Third-Party Risk Management: Vet external AI tools.
Audit & Logging: Track AI usage for compliance.
Training & Onboarding: Educate staff on safe AI use.
Incident Response: Have a plan for misuse or breaches.
Contact our team if you have any questions on AI, AI Policy or Cyber Security Foundations. Thank you!
