AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 737 · 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: “fix wrong labels” helps reduce bias. (a) True (b) False
2. 2.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
5. 5.🗣️ 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
6. 6.True or false: “check who is missing” adds to bias. (a) False (b) True
7. 7.True or false: “add more of the same” helps reduce bias. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
9. 9.True or false: “ask different people” helps reduce bias. (a) True (b) False
10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) use one group only (d) ask different people
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
13. 13.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) use one group only (d) add more of the same
14. 14.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
17. 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
19. 19.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.True or false: “use one group only” helps reduce bias. (a) False (b) True
22. 22.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
25. 25.Which of these adds to bias? (a) add more of the same (b) ask different people (c) check who is missing (d) fix wrong labels
26. 26.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ignore complaints (d) add varied examples
28. 28.True or false: “add more of the same” adds to bias. (a) False (b) True
29. 29.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) ask different people (d) balance the data
30. 30.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) fix wrong labels (d) copy old unfair choices
31. 31.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) add varied examples (d) use one group only
32. 32.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.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
35. 35.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) balance the data (d) add more of the same
36. 36.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
38. 38.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) ignore complaints (d) test on many groups
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias

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