AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 917 · 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: use one group only? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
3. 3.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) skip testing (d) copy old unfair choices
4. 4.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) test on one group only (d) use one group only
5. 5.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
6. 6.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) copy old unfair choices (d) use one group only
7. 7.True or false: “add more of the same” adds to bias. (a) False (b) True
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
9. 9.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
10. 10.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) ask different people (d) check who is missing
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
14. 14.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) ignore complaints (d) use one group only
16. 16.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
17. 17.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
18. 18.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
19. 19.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) test on many groups (d) check who is missing
22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
24. 24.True or false: “ask different people” adds to bias. (a) False (b) True
25. 25.True or false: “ask different people” helps reduce bias. (a) True (b) False
26. 26.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) ignore complaints
27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
31. 31.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
32. 32.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
33. 33.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
34. 34.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) copy old unfair choices (d) test on many groups
36. 36.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) ignore complaints (d) balance the data
37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
38. 38.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) ignore complaints
40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False

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