AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 887 · 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.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
6. 6.True or false: “skip testing” helps reduce bias. (a) False (b) True
7. 7.True or false: “use one group only” helps reduce bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) add more of the same
9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) test on many groups
10. 10.🖼️ 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
11. 11.🗣️ 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) the phone was new (d) few child voices in data
12. 12.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) add varied examples (d) test on many groups
15. 15.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) add varied examples
16. 16.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) balance the data
18. 18.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
19. 19.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) fix wrong labels
20. 20.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) test on one group only (d) ignore complaints
21. 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
22. 22.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) skip testing (d) check who is missing
25. 25.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) balance the data (d) copy old unfair choices
26. 26.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) add more of the same (d) use one group only
27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
28. 28.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ask different people (d) use one group only
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
31. 31.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ignore complaints (d) add varied examples
34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
35. 35.True or false: “ask different people” adds to bias. (a) False (b) True
36. 36.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) add varied examples
37. 37.True or false: “add varied examples” adds to bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
40. 40.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False

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