5 interactive lessons. Ages 7–14. No app needed. Your child learns what fair AI looks like, how to spot bias, and why it matters — before AI makes decisions about them.
Each lesson is 20–30 minutes, self-paced, and designed so kids actually remember it — not because they memorised answers, but because they reasoned through real examples.
Kids discover that AI isn't magic — it's pattern recognition trained on data by people. They run a "train your own AI" activity and see exactly how their choices shape what the AI learns.
▶ Try it now — 2 minUsing real-world examples kids can understand (who gets a school interview, who gets a library card), students learn to spot when an AI system treats people differently — and why that matters.
▶ Book a pilot →Kids learn that every AI system was designed, trained, and deployed by humans with choices. They map out the chain of decisions behind a familiar AI (like a recommendation system) and discuss who is responsible.
▶ Book a pilot →Students practise asking the right questions: Where did this information come from? Could it be wrong? What would it miss? They fact-check three AI-generated answers together.
⬇ Download ethics cards →The capstone lesson. Kids design their own simple AI rule system for a school scenario — then test it against edge cases to see if it's truly fair. They present their "AI constitution" to parents.
▶ Run this in your class →This is what your child actually does. Label these messages — then see what the AI learned from your choices.
You are the teacher. Label each message — the AI learns from every choice you make.
Label all 6 messages to train your AI
School admissions. Loan approvals. Medical diagnoses. Job screenings. AI is already deciding who gets opportunities. A child who understands AI is not a passive recipient — they're a critical thinker.
BrightKit AI Safety is actively seeking funding partners who believe the next generation deserves AI literacy — not AI anxiety.
Interested in partnering or funding? arun@voltexam.com
BrightKit AI Safety is built for schools. Curriculum-aligned, teacher-ready, and priced for district budgets.
Each with teacher notes, timing guidance, discussion questions, and printable student worksheets.
Runs in any browser. No logins, no app downloads, no IT approval needed.
We're looking for 3 GTA/Mississauga schools to co-develop the curriculum. First pilots are free.
Flat annual fee. Unlimited students. Full curriculum access plus teacher training call.
Yes — completely free, forever. The curriculum is published under Creative Commons CC BY 4.0, which means you can use it, adapt it, and share it for any purpose as long as you credit BrightKit. There is no paywall, no subscription, and no account required.
The curriculum is designed for ages 7–14 (roughly Grades 2–8). Each lesson notes a recommended age — Lesson 1 starts at ages 7+, while Lessons 4 and 5 work best for ages 10+. Teachers with mixed grades have used the simpler lessons as whole-class activities and the harder ones in small groups.
No login, no app, no account. The interactive Lesson 1 demo runs in any browser on any device including phones and tablets. The remaining lessons are printable and can be run offline. The only thing you need is a browser.
Each lesson is 20–30 minutes. The full 5-lesson curriculum takes about 50 minutes total and is designed to fit one class period per lesson across a single week. Lessons are self-contained — you can use one or all five.
Yes. BrightKit AI Safety maps to the Digital Literacy and Media Literacy components of the Ontario Language and Social Studies curriculum (Grades 3–8) and to BC's Applied Design, Skills and Technologies competencies. A one-page curriculum alignment document is available on request.
BrightKit AI Safety was built by Deeun Inc., an Ontario-based education technology company serving 10,000+ families through 8 learning apps. The curriculum draws on peer-reviewed AI literacy research including Long & Magerko (2020), Buolamwini & Gebru (2018), and UNESCO's 2022 AI Competency Framework. It is currently being prepared for a formal research study with a Canadian university partner.