AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 723 · 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: ignore complaints? (a) reduces bias (b) adds to bias
2. 2.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) balance the data
4. 4.True or false: “ask different people” helps reduce bias. (a) True (b) False
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
8. 8.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
9. 9.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) test on one group only
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) check who is missing (d) copy old unfair choices
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) ask different people (d) balance the data
14. 14.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
15. 15.Which of these adds to bias? (a) balance the data (b) add varied examples (c) check who is missing (d) ignore complaints
16. 16.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) ignore complaints (d) use one group only
17. 17.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) ask different people (d) skip testing
18. 18.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
19. 19.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
22. 22.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
25. 25.True or false: “use one group only” helps reduce bias. (a) False (b) True
26. 26.Which of these adds to bias? (a) use one group only (b) add varied examples (c) balance the data (d) fix wrong labels
27. 27.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) ignore complaints
28. 28.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
29. 29.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) ask different people (d) balance the data
31. 31.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) balance the data
33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
34. 34.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.Which of these adds to bias? (a) balance the data (b) copy old unfair choices (c) check who is missing (d) add varied examples
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
37. 37.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
38. 38.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
39. 39.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
40. 40.True or false: “ask different people” adds to bias. (a) False (b) True

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