Research

Teaching AI literacy by living inside the system.

Design goals

GOAL 01

Make AI legible

Turn the invisible workings of a generative AI system into a place players can walk through and operate. Abstract mechanisms become something you do, not terms you memorize.

GOAL 02

Turn risk into experience

Let players feel the consequences of human–AI interaction firsthand — following the rules, then watching what slips through — instead of only reading about them.

Learning objectives

01

How generative AI works

Understand the mechanisms running inside the AI systems people use every day — what's actually happening behind the chat box.

02

The risks of human–AI interaction

See where and why these systems can cause harm, and how everyday use can go wrong.

03

Why AI ethics matters

Explore what responsible AI design looks like — and why clear ethical guidelines are needed in the first place.

Publication

CHI PLAY
Companion '26
Work-in-Progress

TokenVerse: A Game-Based Learning Experience for Understanding Large Language Models and Human–AI Interaction Risks

Huang, H., Gumagay, K., Zhang, Y., Timberlake, J., Lin, C., Khatwani, V., Tabor, J., Wei, T., She, S., Magerko, B. · 2026