AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 972 · 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 fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) test on one group only
3. 3.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) ask different people
5. 5.🗣️ 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) it was a rainy day (d) the phone was new
6. 6.Which of these adds to bias? (a) balance the data (b) copy old unfair choices (c) check who is missing (d) add varied examples
7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) fix wrong labels (d) test on many groups
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
10. 10.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) add more of the same (d) skip testing
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
12. 12.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
13. 13.True or false: “use one group only” helps reduce bias. (a) False (b) True
14. 14.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
15. 15.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) add more of the same
16. 16.Which of these adds to bias? (a) add more of the same (b) balance the data (c) add varied examples (d) test on many groups
17. 17.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) use one group only (d) fix wrong labels
18. 18.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) add varied examples
19. 19.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) skip testing (d) add more of the same
20. 20.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
22. 22.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
23. 23.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
25. 25.True or false: “test on many groups” helps reduce bias. (a) False (b) True
26. 26.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
27. 27.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
30. 30.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) test on many groups
31. 31.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) balance the data (d) skip testing
32. 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
34. 34.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) test on one group only (d) skip testing
36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) test on one group only (d) ignore complaints
38. 38.True or false: “use one group only” adds to bias. (a) False (b) True
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data

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