AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 758 · 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) copy old unfair choices (b) fix wrong labels (c) test on many groups (d) ask different people
2. 2.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
3. 3.🔍 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
4. 4.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
5. 5.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) use one group only
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
8. 8.True or false: “balance the data” adds to bias. (a) False (b) True
9. 9.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) ignore complaints (d) ask different people
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
12. 12.True or false: “add varied examples” adds to bias. (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
14. 14.True or false: “test on one group only” helps reduce bias. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) use one group only (d) ignore complaints
16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
17. 17.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
18. 18.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) use one group only (d) check who is missing
19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
21. 21.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
22. 22.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
23. 23.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) balance the data (d) check who is missing
24. 24.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) use one group only (d) copy old unfair choices
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.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
29. 29.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
30. 30.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
32. 32.True or false: “test on one group only” adds to bias. (a) False (b) True
33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ask different people (d) test on many groups
35. 35.True or false: “ask different people” adds to bias. (a) True (b) False
36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
37. 37.True or false: “check who is missing” adds to bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) skip testing (d) add more of the same

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