AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 185 · 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.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
3. 3.True or false: “check who is missing” adds to bias. (a) False (b) True
4. 4.True or false: “add varied examples” helps reduce bias. (a) True (b) False
5. 5.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) test on one group only (d) copy old unfair choices
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) ask different people (d) add more of the same
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
10. 10.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) check who is missing (d) test on one group only
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
12. 12.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: “skip testing” helps reduce bias. (a) False (b) True
14. 14.Which of these adds to bias? (a) add varied examples (b) ask different people (c) check who is missing (d) use one group only
15. 15.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) copy old unfair choices (d) ignore complaints
16. 16.True or false: “fix wrong labels” adds to bias. (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
18. 18.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) ask different people (d) balance the data
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) check who is missing (d) balance the data
21. 21.True or false: “balance the data” helps reduce bias. (a) False (b) True
22. 22.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) balance the data
23. 23.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) ask different people (d) balance the data
24. 24.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) test on one group only
25. 25.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
28. 28.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
31. 31.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) ignore complaints
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
33. 33.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) add varied examples (d) check who is missing
34. 34.🗣️ 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
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.Which of these adds to bias? (a) ask different people (b) balance the data (c) fix wrong labels (d) copy old unfair choices
37. 37.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
38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
40. 40.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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students