AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 685 · 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 leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
2. 2.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.True or false: “skip testing” helps reduce bias. (a) True (b) False
4. 4.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on many groups (d) test on one group only
5. 5.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) skip testing
6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) test on one group only (d) use one group only
7. 7.True or false: “test on many groups” adds to bias. (a) True (b) False
8. 8.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
9. 9.🗣️ 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
10. 10.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
11. 11.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
13. 13.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
14. 14.True or false: “test on one group only” helps reduce bias. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
16. 16.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
17. 17.True or false: “skip testing” adds to bias. (a) True (b) False
18. 18.Which of these adds to bias? (a) check who is missing (b) ask different people (c) balance the data (d) copy old unfair choices
19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
20. 20.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
21. 21.🖼️ 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
22. 22.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ignore complaints (d) check who is missing
23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
24. 24.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
25. 25.True or false: “add more of the same” helps reduce bias. (a) False (b) True
26. 26.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) ask different people (d) check who is missing
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
29. 29.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) fix wrong labels (d) balance the data
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
32. 32.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
33. 33.True or false: “add more of the same” adds to bias. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) test on many groups (d) add varied examples
35. 35.True or false: “check who is missing” helps reduce bias. (a) True (b) False
36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) test on one group only (d) ask different people
38. 38.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) test on one group only (d) test on many groups
40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data

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