AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 278 · 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 helps reduce bias? (a) check who is missing (b) use one group only (c) test on one group only (d) skip testing
2. 2.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ignore complaints (d) check who is missing
3. 3.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
4. 4.True or false: “balance the data” adds to bias. (a) True (b) False
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
7. 7.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on one group only (d) ask different people
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
9. 9.True or false: “skip testing” adds to bias. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
11. 11.True or false: “skip testing” helps reduce bias. (a) False (b) True
12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
13. 13.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
14. 14.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
15. 15.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) ask different people (d) skip testing
16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) ask different people (d) test on one group only
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
18. 18.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
19. 19.Which of these adds to bias? (a) test on many groups (b) balance the data (c) add more of the same (d) fix wrong labels
20. 20.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) skip testing (d) test on many groups
22. 22.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) add varied examples (d) test on many groups
26. 26.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.🗣️ 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
28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) ignore complaints
30. 30.Which of these adds to bias? (a) test on many groups (b) balance the data (c) check who is missing (d) test on one group only
31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
32. 32.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) test on one group only (d) copy old unfair choices
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
36. 36.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add more of the same (d) fix wrong labels
38. 38.True or false: “add varied examples” helps reduce bias. (a) False (b) True
39. 39.True or false: “ignore complaints” adds to bias. (a) True (b) False
40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data

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