AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 611 · 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: fix wrong labels? (a) reduces bias (b) adds to bias
2. 2.True or false: “add more of the same” helps reduce bias. (a) True (b) False
3. 3.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: “ignore complaints” adds to bias. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) add varied examples (d) skip testing
6. 6.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) balance the data (d) fix wrong labels
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
10. 10.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) balance the data (d) test on one group only
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
12. 12.Which of these adds to bias? (a) use one group only (b) balance the data (c) fix wrong labels (d) test on many groups
13. 13.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) skip testing
14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
15. 15.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) check who is missing (d) ask different people
16. 16.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) add varied examples (d) use one group only
17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
18. 18.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
20. 20.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
22. 22.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) check who is missing
23. 23.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
28. 28.True or false: “ask different people” adds to bias. (a) False (b) True
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
33. 33.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) test on one group only (d) copy old unfair choices
34. 34.True or false: “skip testing” helps reduce bias. (a) True (b) False
35. 35.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
37. 37.Which of these adds to bias? (a) balance the data (b) check who is missing (c) add varied examples (d) copy old unfair choices
38. 38.True or false: “balance the data” adds to bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) balance the data (d) use one group only
40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) skip testing (d) use one group only

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