AI Tools, Ethics, and Implementation

This unit explores AI tools, partner organizations, and practical implementation strategies that nonprofit teams use to support marketing, fundraising, and volunteer engagement. Students will assess common pitfalls and ethical concerns, build prototype solutions with real platforms, and produce road maps for deployment and impact measurement.

Learning Objectives

• Analyze the capabilities, strengths, and limitations of AI tools and nonprofit technology resources (e.g., Quiller, Scribe, Sembly AI, Stockimg AI, Tango, TechSoup, VolunteerMatch) to determine fit for specific organizational needs
• Apply AI platforms and partner services to create prototype artifacts (e.g., meeting summaries, donor outreach copy, social assets, contributor/interviewee bios, volunteer workflows) that address a defined nonprofit marketing or fundraising problem
• Evaluate ethical, privacy, bias, and accessibility pitfalls associated with proposed AI solutions and recommend documented mitigation strategies aligned with best practices and relevant resources
• Demonstrate the creation of a practical implementation roadmap, including stakeholder roles, volunteer integration, success metrics, and projected results and impact for deploying an AI-driven nonprofit solution