AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 696 · 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.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
3. 3.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
5. 5.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) add more of the same (d) copy old unfair choices
8. 8.True or false: “check who is missing” adds to bias. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) ask different people (d) fix wrong labels
10. 10.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.True or false: “ask different people” adds to bias. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) fix wrong labels (d) test on one group only
13. 13.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
14. 14.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) add varied examples
16. 16.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
17. 17.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on many groups (d) skip testing
18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
20. 20.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) ignore complaints (d) copy old unfair choices
21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
22. 22.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
25. 25.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) add more of the same
26. 26.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
27. 27.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
29. 29.True or false: “add more of the same” helps reduce bias. (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) fix wrong labels (d) copy old unfair choices
31. 31.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
32. 32.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
33. 33.True or false: “ask different people” helps reduce bias. (a) True (b) False
34. 34.True or false: “test on one group only” helps reduce bias. (a) True (b) False
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
36. 36.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) check who is missing (d) balance the data
37. 37.Which of these adds to bias? (a) ask different people (b) test on many groups (c) use one group only (d) add varied examples
38. 38.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
40. 40.🗣️ 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) children speak too fast (d) few child voices in data

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