AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 268 · 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 of these helps reduce bias? (a) balance the data (b) ignore complaints (c) use one group only (d) skip testing
2. 2.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
3. 3.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
7. 7.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) copy old unfair choices (d) test on one group only
9. 9.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
10. 10.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) ask different people (d) check who is missing
11. 11.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) skip testing (d) fix wrong labels
12. 12.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
14. 14.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) add varied examples (d) use one group only
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
18. 18.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
20. 20.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) test on one group only (d) use one group only
21. 21.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
22. 22.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
25. 25.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
28. 28.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) copy old unfair choices (d) add more of the same
29. 29.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
30. 30.🗣️ 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
31. 31.True or false: “check who is missing” adds to bias. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) skip testing (d) balance the data
33. 33.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) add varied examples (d) test on many groups
34. 34.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
36. 36.True or false: “fix wrong labels” adds to bias. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) add varied examples (d) ask different people
38. 38.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) ignore complaints (d) copy old unfair choices
39. 39.True or false: “balance the data” adds to bias. (a) True (b) False
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data

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