AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 264 · 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.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
2. 2.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) ask different people (d) add more of the same
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
4. 4.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
6. 6.Which of these adds to bias? (a) ask different people (b) skip testing (c) test on many groups (d) check who is missing
7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
10. 10.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) add more of the same (d) ask different people
11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
12. 12.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.Which of these helps reduce bias? (a) use one group only (b) fix wrong labels (c) ignore complaints (d) copy old unfair choices
16. 16.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) ask different people
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) check who is missing
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
20. 20.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) check who is missing (d) ignore complaints
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
23. 23.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.🖼️ 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
26. 26.True or false: “check who is missing” helps reduce bias. (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
28. 28.True or false: “test on one group only” helps reduce bias. (a) True (b) False
29. 29.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
30. 30.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “skip testing” helps reduce bias. (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
33. 33.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) check who is missing (d) balance the data
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: “add more of the same” adds to bias. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) test on one group only (d) copy old unfair choices
37. 37.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) use one group only
38. 38.Which of these adds to bias? (a) balance the data (b) add varied examples (c) add more of the same (d) check who is missing
39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data

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