AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 798 · 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.True or false: “add varied examples” helps reduce bias. (a) True (b) False
2. 2.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) balance the data (d) ignore complaints
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
9. 9.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) test on one group only
10. 10.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: “fix wrong labels” adds to bias. (a) False (b) True
12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
13. 13.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: “test on many groups” adds to bias. (a) True (b) False
15. 15.True or false: “test on one group only” helps reduce bias. (a) False (b) True
16. 16.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
18. 18.Which of these adds to bias? (a) add varied examples (b) use one group only (c) ask different people (d) check who is missing
19. 19.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
20. 20.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
21. 21.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) use one group only (d) copy old unfair choices
22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
23. 23.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) fix wrong labels (d) test on one group only
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) skip testing (d) use one group only
25. 25.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) add more of the same
26. 26.True or false: “ask different people” helps reduce bias. (a) False (b) True
27. 27.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) use one group only (d) add varied examples
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ignore complaints (d) check who is missing
29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) check who is missing (d) add more of the same
30. 30.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) use one group only (d) copy old unfair choices
31. 31.True or false: “skip testing” adds to bias. (a) True (b) False
32. 32.True or false: “check who is missing” helps reduce bias. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) test on one group only (d) add more of the same
34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
38. 38.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True

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