AI Tools, Ethics, and Roadmaps

This unit examines AI platforms, nonprofit technology resources, and the practical/ethical pitfalls of implementing AI in mission-driven organizations. Students evaluate tools and partners, design AI-driven solutions and phased road maps, and produce communication artifacts that demonstrate impact and stakeholder engagement.

Learning Objectives

• analyze the capabilities, strengths, and limitations of AI platforms and nonprofit technology resources (e.g., Quiller, Scribe, Sembly AI, TechSoup, VolunteerMatch) and compare their suitability for specific nonprofit functions
• evaluate ethical, legal, and operational pitfalls associated with deploying AI in nonprofit contexts and recommend concrete mitigation strategies addressing privacy, bias, accessibility, and stakeholder trust
• apply solution-design and project-planning principles to create a phased AI implementation road map that includes tasks, roles, volunteer engagement strategies, timelines, and measurable impact metrics
• demonstrate the creation of professional contributor and interviewee bios and other outreach/reporting artifacts that support partnerships, fundraising, and results communication