AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 766 · 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.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) fix wrong labels (d) ignore complaints
2. 2.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
6. 6.True or false: “use one group only” adds to bias. (a) False (b) True
7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
8. 8.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
9. 9.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
10. 10.True or false: “fix wrong labels” adds to bias. (a) True (b) False
11. 11.True or false: “test on one group only” helps reduce bias. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ignore complaints (d) fix wrong labels
13. 13.True or false: “add varied examples” adds to bias. (a) True (b) False
14. 14.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) balance the data (d) copy old unfair choices
15. 15.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
16. 16.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) balance the data (d) use one group only
17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
18. 18.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) test on one group only
19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
20. 20.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) test on many groups
23. 23.🗣️ 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
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) ask different people
25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
28. 28.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) ignore complaints (d) copy old unfair choices
29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
30. 30.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) skip testing
31. 31.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) use one group only
32. 32.🖼️ 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
33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
34. 34.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) fix wrong labels (d) ask different people
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) balance the data
36. 36.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add more of the same (d) test on many groups
37. 37.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) check who is missing (d) use one group only
38. 38.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
40. 40.True or false: “add more of the same” helps reduce bias. (a) False (b) True

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