How do we teach AI in a way that is rigorous, relevant, and grounded in our disciplinary context? This session examines how the AI for Nonprofits Course Framework from the Applied AI Innovation Initiative can be adapted by faculty across different fields. The course is structured to begin with transferable foundations such as generative AI models, tokenization, AI terminology, security, accountability, ethics, AI tools, automation, and chatbots, before moving into discipline specific applications within the nonprofit sector through modules on grant writing, the evaluation cycle, and other nonprofit topics. This structure puts into perspective how AI instruction can be adapted to support thoughtful implementation across academic fields. #DisciplineSpecificAI #AIinAction #LearningwithAI
