AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 767 · 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) add more of the same (b) fix wrong labels (c) ignore complaints (d) use one group only
2. 2.True or false: “test on one group only” helps reduce bias. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) copy old unfair choices (d) ask different people
4. 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) ignore complaints (d) copy old unfair choices
6. 6.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) fix wrong labels (d) check who is missing
7. 7.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) skip testing (d) test on many groups
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) add varied examples (d) fix wrong labels
9. 9.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
12. 12.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add varied examples (d) test on one group only
13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
14. 14.Which of these adds to bias? (a) ask different people (b) test on many groups (c) skip testing (d) fix wrong labels
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
18. 18.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
19. 19.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
20. 20.True or false: “ask different people” helps reduce bias. (a) True (b) False
21. 21.True or false: “balance the data” adds to bias. (a) True (b) False
22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
23. 23.True or false: “add varied examples” adds to bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) fix wrong labels (d) ask different people
25. 25.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
27. 27.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
28. 28.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
29. 29.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on many groups (d) copy old unfair choices
30. 30.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
31. 31.True or false: “check who is missing” helps reduce bias. (a) True (b) False
32. 32.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) test on one group only (d) balance the data
33. 33.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ignore complaints (d) test on one group only
36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
40. 40.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour

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