AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 280 · 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 adds to bias? (a) ask different people (b) ignore complaints (c) fix wrong labels (d) add varied examples
2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
3. 3.True or false: “test on one group only” adds to bias. (a) False (b) True
4. 4.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
6. 6.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
9. 9.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) ask different people (d) test on one group only
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) use one group only (d) add varied examples
12. 12.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
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) skip testing (d) use one group only
14. 14.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) add more of the same (d) ignore complaints
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
16. 16.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) use one group only (d) add more of the same
17. 17.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
19. 19.True or false: “use one group only” helps reduce bias. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) test on one group only
21. 21.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ignore complaints (d) check who is missing
22. 22.True or false: “ignore complaints” adds to bias. (a) True (b) False
23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
24. 24.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
27. 27.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) add varied examples
28. 28.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
29. 29.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
30. 30.Which of these adds to bias? (a) skip testing (b) ask different people (c) test on many groups (d) balance the data
31. 31.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
32. 32.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
34. 34.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
35. 35.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
36. 36.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
38. 38.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
39. 39.True or false: “use one group only” adds to bias. (a) False (b) True
40. 40.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data

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