AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 178 · 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.🗣️ 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) few child voices in data (d) the phone was new
2. 2.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) use one group only (d) add varied examples
3. 3.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) use one group only (d) copy old unfair choices
5. 5.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) fix wrong labels (d) use one group only
6. 6.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
7. 7.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ignore complaints (d) ask different people
8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
9. 9.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
10. 10.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) test on many groups (d) ask different people
11. 11.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) add more of the same (d) use one group only
12. 12.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
13. 13.True or false: “balance the data” helps reduce bias. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) copy old unfair choices (d) skip testing
15. 15.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) ask different people (d) test on one group only
16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
20. 20.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
23. 23.True or false: “test on one group only” helps reduce bias. (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) ignore complaints (d) use one group only
26. 26.True or false: “ask different people” helps reduce bias. (a) True (b) False
27. 27.True or false: “add more of the same” helps reduce bias. (a) True (b) False
28. 28.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
29. 29.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) fix wrong labels (d) copy old unfair choices
30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
31. 31.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) ask different people (d) copy old unfair choices
32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) use one group only (d) test on one group only
34. 34.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: “ask different people” adds to bias. (a) True (b) False
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
37. 37.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) add more of the same
40. 40.True or false: “add varied examples” helps reduce bias. (a) True (b) False

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