AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 382 · 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: voices of children and adults from many regions? (a) balanced data (b) one-sided data
2. 2.🗣️ 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
3. 3.True or false: “balance the data” adds to bias. (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
6. 6.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) skip testing
7. 7.Which of these adds to bias? (a) skip testing (b) balance the data (c) add varied examples (d) check who is missing
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
11. 11.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
12. 12.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
13. 13.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
14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
15. 15.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
17. 17.True or false: “add varied examples” adds to bias. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
19. 19.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) use one group only
20. 20.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) copy old unfair choices
21. 21.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) check who is missing (d) fix wrong labels
22. 22.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
23. 23.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
24. 24.True or false: “ask different people” adds to bias. (a) True (b) False
25. 25.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) add varied examples (d) ask different people
26. 26.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) test on one group only (d) copy old unfair choices
27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
28. 28.True or false: “check who is missing” helps reduce bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) check who is missing (d) ask different people
30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
31. 31.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.True or false: “check who is missing” adds to bias. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) test on many groups (d) ignore complaints
34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) add more of the same
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
38. 38.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) fix wrong labels (d) copy old unfair choices
39. 39.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) test on many groups
40. 40.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

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