AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 266 · 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: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) skip testing
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
5. 5.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) check who is missing (d) skip testing
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
7. 7.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) use one group only (d) fix wrong labels
8. 8.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
9. 9.🗣️ 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) children speak too fast (d) few child voices in data
10. 10.True or false: “ask different people” helps reduce bias. (a) False (b) True
11. 11.True or false: “add more of the same” helps reduce bias. (a) False (b) True
12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
14. 14.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) ask different people (d) balance the data
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
17. 17.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) skip testing (d) add more of the same
18. 18.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
19. 19.True or false: “check who is missing” helps reduce bias. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) balance the data (d) copy old unfair choices
21. 21.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
23. 23.True or false: “check who is missing” adds to bias. (a) True (b) False
24. 24.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
27. 27.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) test on one group only (d) add more of the same
29. 29.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) test on many groups
30. 30.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on many groups (d) skip testing
31. 31.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) balance the data (d) add more of the same
32. 32.True or false: “test on many groups” adds to bias. (a) False (b) True
33. 33.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) add more of the same
34. 34.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
35. 35.Which of these adds to bias? (a) test on many groups (b) balance the data (c) test on one group only (d) ask different people
36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
37. 37.True or false: “add varied examples” adds to bias. (a) False (b) True
38. 38.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
39. 39.🖼️ 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
40. 40.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on many groups (d) copy old unfair choices

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