

Understanding Bias and Mistakes in Artificial Intelligence (Ages 8–10)
If AI is so clever, why does it sometimes make mistakes?
This engaging, fully resourced lesson helps pupils understand that AI errors are often caused by the data it was trained on, not random glitches. Through real-world examples, pupils explore how bias can occur and why AI systems can produce unfair or incorrect results.
What’s included:
✔ Slides (Presentation) – clear, visual prompts to support teaching and discussion
✔ Worksheets (Print & Go) – structured tasks with scaffolded writing support
✔ Task Cards (Real-World Scenarios) – 5 engaging examples of AI mistakes
✔ Teacher Guide – step-by-step lesson plan with answers and guidance
Learning focus:
Pupils will:
Understand what bias in AI means
Identify why AI makes mistakes
Explain the cause and consequence of AI errors
Develop critical thinking about fairness and technology
Lesson overview:
Pupils investigate real-world scenarios, including:
Facial recognition errors
Job application screening
Health app inaccuracies
Predictive policing
Translation mistakes
They are guided to ask:
- What went wrong with the data?
- What data did the AI learn from?
Duration:
Approximately 45–60 minutes
Suitable for:
KS2 Computing
PSHE / Digital Literacy
Cross-curricular lessons (discussion, reasoning, writing)
Key features:
Clear, child-friendly explanations for Year 4–5
Strong emphasis on discussion and critical thinking
Real-world context to support understanding
Built-in differentiation for support and challenge
Minimal preparation required – just print and teach
This is Part of a Series:
What is AI? (Find it here, for FREE)
AI Being Helpful (Find it here)
AI Gets it Wrong (This lesson)
Can I trust AI? (coming soon)
AI and Me (coming soon)
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