Applied AI for Nonprofit Impact

This unit explores practical applications of AI across nonprofit program measurement, fundraising, volunteer management, marketing, and operations. Students will study case examples and develop measurable, ethical AI-enabled workflows that increase precision, efficiency, and trust in nonprofit practice.

Learning Objectives

• Analyze program and campaign data to select and justify at least two AI-driven measurement or forecasting techniques that improve impact evaluation and precision philanthropy outcomes using case study evidence
• Apply predictive modeling and personalization methods to create a donor and volunteer segmentation and outreach plan that includes model features, scoring criteria, and three tailored engagement tactics
• Evaluate AI marketing, volunteer management, and operations tools through comparative analysis of accuracy, transparency, bias risk, and administrative efficiency, and produce recommendations with at least three adoption criteria and two mitigation strategies
• Demonstrate ability to design an integrated AI-enabled administrative and HR workflow—covering content creation, event/volunteer coordination, and task automation—by producing a one-page implementation plan and a pilot evaluation metric set