AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 813 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
2. 2.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) add varied examples (d) fix wrong labels
3. 3.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) add more of the same
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) skip testing (d) copy old unfair choices
5. 5.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) test on one group only (d) skip testing
6. 6.True or false: “test on many groups” adds to bias. (a) False (b) True
7. 7.Which of these adds to bias? (a) balance the data (b) copy old unfair choices (c) add varied examples (d) ask different people
8. 8.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
9. 9.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) add more of the same (d) skip testing
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) test on one group only
12. 12.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) balance the data (d) add more of the same
13. 13.Which of these adds to bias? (a) skip testing (b) ask different people (c) test on many groups (d) check who is missing
14. 14.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
15. 15.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
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.True or false: “test on one group only” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) test on one group only
20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
21. 21.Which of these adds to bias? (a) test on many groups (b) ask different people (c) fix wrong labels (d) ignore complaints
22. 22.True or false: “check who is missing” adds to bias. (a) False (b) True
23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
24. 24.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
25. 25.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
27. 27.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) use one group only (d) ask different people
28. 28.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) ignore complaints (d) test on many groups
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
30. 30.True or false: “skip testing” helps reduce bias. (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
35. 35.True or false: “fix wrong labels” adds to bias. (a) True (b) False
36. 36.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
37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
38. 38.True or false: “check who is missing” helps reduce bias. (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
40. 40.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data

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