AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 110 · 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: “add varied examples” helps reduce bias. (a) False (b) True
2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
3. 3.🗣️ 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) few child voices in data (d) children speak too fast
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
5. 5.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ask different people (d) test on many groups
7. 7.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
8. 8.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
10. 10.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
12. 12.Which of these adds to bias? (a) check who is missing (b) ask different people (c) add varied examples (d) use one group only
13. 13.True or false: “ignore complaints” adds to bias. (a) False (b) True
14. 14.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) copy old unfair choices (d) add varied examples
16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) ignore complaints (d) test on many groups
17. 17.True or false: “ask different people” helps reduce bias. (a) False (b) True
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.True or false: “add varied examples” adds to bias. (a) False (b) True
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) add varied examples
22. 22.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add more of the same (d) check who is missing
23. 23.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
24. 24.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
25. 25.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) use one group only (d) add varied examples
26. 26.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) copy old unfair choices (d) skip testing
27. 27.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
28. 28.True or false: “test on one group only” helps reduce bias. (a) False (b) True
29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
30. 30.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) balance the data (d) add more of the same
32. 32.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
35. 35.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
36. 36.True or false: “test on many groups” adds to bias. (a) True (b) False
37. 37.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
38. 38.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) balance the data
39. 39.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) test on one group only (d) skip testing
40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias

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