Classroom workshops
Free 45-to-90-minute sessions, run by trained high school instructors, in classrooms and after-school programs across the Cincinnati area.
A session opens with a drawing game in which a neural network guesses doodles in real time. It identifies a bicycle instantly, then insists a recognizable cat is a lion. Students reach the central idea themselves — a system can be confident and wrong at the same time — before anyone defines a technical term.
From there we work through how a language model actually produces text: not by retrieving facts, but by predicting which word tends to follow the last. Students then run a human-or-AI exercise, reading short passages and voting on which were machine-written. Most groups are confident and most groups are wrong, which is the point. One passage recommends a food bank as a must-visit tourist attraction — fluent, well-structured, and entirely false.
The final stretch is about judgment rather than mechanics: where AI genuinely helps with schoolwork, where it crosses into doing the work for you, why a model can sound authoritative about something it invented, and how to verify a claim from a tool that has no way of knowing whether it is true.