AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 643 · 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) one-sided data (b) balanced data
2. 2.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
3. 3.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on one group only (d) test on many groups
4. 4.True or false: “fix wrong labels” adds to bias. (a) True (b) False
5. 5.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) balance the data
6. 6.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) ignore complaints (d) skip testing
7. 7.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) copy old unfair choices
9. 9.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
11. 11.True or false: “use one group only” adds to bias. (a) True (b) False
12. 12.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) test on one group only (d) ignore complaints
13. 13.True or false: “skip testing” adds to bias. (a) False (b) True
14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
17. 17.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
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.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
23. 23.True or false: “use one group only” helps reduce bias. (a) True (b) False
24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
25. 25.Which of these adds to bias? (a) add more of the same (b) ask different people (c) check who is missing (d) fix wrong labels
26. 26.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) copy old unfair choices (d) add more of the same
27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) use one group only (d) add more of the same
28. 28.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add varied examples (d) ignore complaints
29. 29.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
31. 31.True or false: “ignore complaints” adds to bias. (a) False (b) True
32. 32.Which of these adds to bias? (a) ask different people (b) test on many groups (c) use one group only (d) add varied examples
33. 33.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) add more of the same
38. 38.Which of these adds to bias? (a) add varied examples (b) skip testing (c) fix wrong labels (d) balance the data
39. 39.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) copy old unfair choices (d) check who is missing

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