AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 209 · 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 voice app trained only on adult voices? (a) balanced data (b) one-sided data
2. 2.🗣️ 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
3. 3.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) skip testing (d) add varied examples
4. 4.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
5. 5.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: “skip testing” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) check who is missing (d) ask different people
8. 8.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
9. 9.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) copy old unfair choices
10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
12. 12.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
13. 13.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) use one group only (d) test on one group only
14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
16. 16.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
17. 17.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) fix wrong labels (d) copy old unfair choices
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) balance the data
20. 20.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) use one group only (d) test on one group only
21. 21.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) ask different people
22. 22.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: “ask different people” adds to bias. (a) True (b) False
24. 24.Which of these adds to bias? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) check who is missing
25. 25.True or false: “test on many groups” helps reduce bias. (a) True (b) False
26. 26.Which of these adds to bias? (a) balance the data (b) use one group only (c) fix wrong labels (d) add varied examples
27. 27.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
28. 28.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) check who is missing (d) ask different people
29. 29.🔍 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
30. 30.True or false: “test on one group only” adds to bias. (a) False (b) True
31. 31.True or false: “add varied examples” helps reduce bias. (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
33. 33.🖼️ 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
34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
35. 35.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
37. 37.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on many groups (d) test on one group only
39. 39.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias

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