AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 373 · 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.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
3. 3.Which of these adds to bias? (a) add more of the same (b) balance the data (c) test on many groups (d) check who is missing
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
7. 7.True or false: “balance the data” adds to bias. (a) True (b) False
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
10. 10.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
11. 11.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) balance the data (d) ask different people
13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
16. 16.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
17. 17.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) copy old unfair choices (d) test on one group only
18. 18.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) ignore complaints (d) add more of the same
19. 19.🖼️ 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
20. 20.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) test on many groups (d) add more of the same
21. 21.True or false: “test on many groups” adds to bias. (a) True (b) False
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
23. 23.True or false: “add varied examples” 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) fix wrong labels (c) ignore complaints (d) test on many groups
26. 26.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
27. 27.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) ask different people (d) test on one group only
28. 28.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) balance the data (d) ignore complaints
29. 29.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) add more of the same (d) test on one group only
30. 30.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
31. 31.True or false: “add more of the same” adds to bias. (a) False (b) True
32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) check who is missing
33. 33.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
34. 34.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) balance the data
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
36. 36.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) skip testing (d) add varied examples
37. 37.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on one group only (d) check who is missing
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) balance the data
39. 39.True or false: “check who is missing” helps reduce bias. (a) False (b) True
40. 40.True or false: “use one group only” adds to bias. (a) True (b) False

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