When AI Gets It Wrong
Your child deliberately breaks an AI system, figures out why it failed, and redesigns it to be smarter and safer.
Every NyroCraft student should understand not just how to build AI, but when they should, and what happens when it goes wrong. This module is about critical thinking through hands-on experience.
Your child starts by deliberately training a biased AI model. They give it incomplete data and watch it make unfair or incorrect predictions. Then they explore real-world cases where AI has gotten it wrong: facial recognition systems that fail on certain groups, hiring algorithms that discriminate. The lesson is visceral because they experienced the failure themselves.
Then they tackle privacy. Who owns the data their robot collects? They build a robot that asks consent before scanning a face. They discuss surveillance, data rights, and what responsible technology looks like.
The module closes with a forward-looking project: your child proposes an AI system that solves a real community problem while addressing fairness, privacy, and accountability. They present and defend their design. This is not abstract theory. It is applied critical thinking, grounded in real building experience.
At a glance
- 4 sessions (1 hour each)
- Ages 8-16
- All Levels
- In person, Coquitlam
- All equipment provided
Prerequisite
Any 2 modules
What your child shows you at the end
Break It, Fix It, Make It Better
Your child trains a biased model on incomplete data, watches it fail, diagnoses the problem, then redesigns it with better data and fairer logic. They present what went wrong and how they fixed it.
What you see: Your child thinking critically about AI, not just building it blindly.
What your child feels: "I can tell when AI is wrong. And I know how to fix it."
What your child will experience
Break AI on purpose
Your child trains a deliberately biased model and watches it fail on data it has never seen. They learn why it happened.
Privacy and consent
Who owns the data a robot collects? Your child builds a robot that asks permission before scanning faces.
What jobs will AI change?
An honest conversation about which careers will evolve, which skills will matter most, and where builders fit in.
Design a responsible system
The final project is proposing an AI system that solves a real community problem while being fair, private, and transparent.
This module is shaped by your child
We do not teach from a fixed script. During early sessions, we observe what excites your child most, then guide them to set a personal goal for this module. The content and pace are tailored to match their curiosity, so every session feels like it was made for them.
Ready to get started?
All equipment provided on-site. Private 1-on-1 with a real AI expert.