AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 193 · 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.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
3. 3.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) use one group only (d) fix wrong labels
4. 4.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) add more of the same (d) test on one group only
5. 5.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: “test on one group only” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add varied examples (d) ask different people
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
9. 9.Which of these adds to bias? (a) balance the data (b) add varied examples (c) add more of the same (d) test on many groups
10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
11. 11.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) ignore complaints (d) balance the data
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
14. 14.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) check who is missing (d) skip testing
18. 18.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
20. 20.True or false: “use one group only” adds to bias. (a) True (b) False
21. 21.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
22. 22.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) skip testing
23. 23.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) fix wrong labels (d) balance the data
24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
25. 25.True or false: “ignore complaints” adds to bias. (a) False (b) True
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
28. 28.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) copy old unfair choices (d) ignore complaints
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
30. 30.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) use one group only (d) add varied examples
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) skip testing (d) fix wrong labels
32. 32.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) ignore complaints (d) use one group only
33. 33.True or false: “ask different people” helps reduce bias. (a) False (b) True
34. 34.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) use one group only (d) test on one group only
37. 37.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) ignore complaints (d) test on many groups
38. 38.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) test on many groups
39. 39.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

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