AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 472 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
3. 3.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) add varied examples (d) balance the data
4. 4.True or false: “add varied examples” adds to bias. (a) True (b) False
5. 5.True or false: “use one group only” helps reduce bias. (a) True (b) False
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
8. 8.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) balance the data
9. 9.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ignore complaints (d) add varied examples
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
11. 11.True or false: “fix wrong labels” adds to bias. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) ignore complaints (d) balance the data
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
15. 15.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
16. 16.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
19. 19.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) test on one group only (d) copy old unfair choices
22. 22.True or false: “skip testing” helps reduce bias. (a) True (b) False
23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) add varied examples
25. 25.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) ask different people (d) test on many groups
26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) add more of the same (d) fix wrong labels
28. 28.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) test on many groups
29. 29.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
31. 31.True or false: “ask different people” helps reduce bias. (a) False (b) True
32. 32.Which of these adds to bias? (a) check who is missing (b) ask different people (c) add varied examples (d) copy old unfair choices
33. 33.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
34. 34.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) use one group only (d) test on one group only
35. 35.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) test on many groups (d) add varied examples
37. 37.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) test on one group only (d) copy old unfair choices
38. 38.True or false: “check who is missing” adds to bias. (a) False (b) True
39. 39.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
40. 40.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias

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