Our Impact
One year of student-led AI literacy work — from high school classrooms to elementary outreach.
100+
Students reached
Workshops conducted
School partnerships
15+
3+
Students examine real-world examples of biased AI outputs and discuss who is harmed, why it happens, and who is responsible.
What we teach
Data privacy and digital trust
AI in healthcare
What data AI systems collect, how it is used, and how students can protect themselves and think critically about the tools they use daily.
How AI systems work
Large language models, how AI is trained, what it can and cannot do — explained without jargon, built for students.
Algorithmic bias and fairness
Exploring how AI is used in medical diagnosis, the risks of over-reliance, and the ethical questions doctors and patients face.
What participants say
"I never thought about who decides what an AI learns until this workshop. Now I actually question the tools I use."
— High school student, Bay Area
"Having a student explain it made it feel like something I could actually understand — not just something for scientists."
— Elementary school participant
Why peer-led matters
Most AI education programs are designed by adults for students. The Lumina Initiative is designed by a student for students — and delivered by peers. Research in education consistently shows that near-peer instruction builds trust, reduces anxiety, and increases the quality of questions students ask. Our model tests this in an under-resourced, zero-budget context, making it replicable for any motivated student anywhere.