AI Bias Worksheet for Kids

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

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