AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 648 · 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.True or false: “test on many groups” adds to bias. (a) False (b) True
2. 2.🗣️ 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
3. 3.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
4. 4.🔍 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
5. 5.True or false: “balance the data” helps reduce bias. (a) True (b) False
6. 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
7. 7.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) use one group only (d) balance the data
8. 8.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) skip testing
9. 9.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
10. 10.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on one group only (d) fix wrong labels
11. 11.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
13. 13.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: “add varied examples” helps reduce bias. (a) True (b) False
17. 17.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
18. 18.True or false: “check who is missing” adds to bias. (a) True (b) False
19. 19.True or false: “add more of the same” helps reduce bias. (a) False (b) True
20. 20.True or false: “use one group only” adds to bias. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) ask different people (d) use one group only
22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
24. 24.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
27. 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
28. 28.True or false: “ask different people” helps reduce bias. (a) False (b) True
29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
31. 31.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) skip testing (d) ignore complaints
32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
34. 34.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) ask different people (d) copy old unfair choices
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) ask different people (d) balance the data
36. 36.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) add varied examples (d) balance the data
37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ignore complaints (d) ask different people
39. 39.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data

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