Students will launch the AI For Good project by examining how technology can serve others, hearing an authentic challenge from a community partner, and beginning a process journal that will document their work through the final showcase.

Students will prepare for and conduct direct research with a community partner, distinguish evidence from assumptions, and organize findings into an empathy artifact. Teams will use that evidence to define a focused need, establish responsible design criteria, generate distinct AI-supported concepts, and justify a selected direction for prototyping.

Students will build and test a low-fidelity AI-supported tool through two documented feedback cycles, validate the refined prototype with a representative user, and prepare evidence for their promotional video, project portfolio, and stakeholder-facing showcase presentation.

Students will present simultaneous exhibit stations to community partners and other invited guests, using a working AI-supported tool, process portfolio, promotional video, and live demonstration. After an initial presentation round, each team will review audience feedback and feedback from two peers, make one high-priority revision to its demonstration or presentation, and present again. The assessment concludes with an individual process-journal reflection describing how the work changed, each student’s contribution, and growth as a learner and teammate.