AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 377 · 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: neat and messy writing from many people? (a) balanced data (b) one-sided data
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
3. 3.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
5. 5.True or false: “ask different people” adds to bias. (a) False (b) True
6. 6.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
7. 7.True or false: “test on one group only” helps reduce bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) test on many groups (d) check who is missing
9. 9.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
12. 12.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) test on many groups
13. 13.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
14. 14.🖼️ 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
15. 15.True or false: “test on one group only” adds to bias. (a) False (b) True
16. 16.Which of these adds to bias? (a) check who is missing (b) balance the data (c) add varied examples (d) test on one group only
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) balance the data (d) test on many groups
18. 18.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) ask different people
19. 19.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
20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
21. 21.Which of these adds to bias? (a) test on many groups (b) balance the data (c) fix wrong labels (d) add more of the same
22. 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
24. 24.Which of these adds to bias? (a) add varied examples (b) ask different people (c) check who is missing (d) use one group only
25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) test on many groups (d) add varied examples
26. 26.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
27. 27.Which of these adds to bias? (a) balance the data (b) add varied examples (c) fix wrong labels (d) ignore complaints
28. 28.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
29. 29.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on one group only (d) add varied examples
30. 30.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) balance the data (d) test on one group only
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
32. 32.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) copy old unfair choices (d) use one group only
33. 33.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
35. 35.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) test on many groups (d) copy old unfair choices
36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
38. 38.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) skip testing (d) use one group only
39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
40. 40.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) use one group only (d) add more of the same

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