AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 481 · 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 is the odd one out? (a) test on one group only (b) add varied examples (c) test on many groups (d) balance the data
2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
3. 3.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) check who is missing (d) copy old unfair choices
6. 6.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) test on one group only (d) add varied examples
7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
8. 8.True or false: “add more of the same” helps reduce bias. (a) False (b) True
9. 9.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
10. 10.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) fix wrong labels (d) skip testing
11. 11.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) test on many groups (d) add varied examples
12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
13. 13.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
17. 17.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) test on one group only (d) copy old unfair choices
18. 18.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) balance the data (d) fix wrong labels
19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) add varied examples (d) use one group only
21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
22. 22.True or false: “test on one group only” adds to bias. (a) True (b) False
23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) skip testing (d) use one group only
25. 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
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.True or false: “use one group only” adds to bias. (a) True (b) False
28. 28.True or false: “test on one group only” helps reduce bias. (a) False (b) True
29. 29.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) balance the data (d) fix wrong labels
31. 31.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
34. 34.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) ask different people
36. 36.True or false: “ask different people” helps reduce bias. (a) False (b) True
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
39. 39.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) ignore complaints (d) test on one group only
40. 40.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) add more of the same

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