AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 215 · 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) fix wrong labels (b) balance the data (c) ask different people (d) use one group only
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🗣️ 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
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) balance the data (d) copy old unfair choices
5. 5.🖼️ 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
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
7. 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
8. 8.True or false: “balance the data” adds to bias. (a) True (b) False
9. 9.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
12. 12.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) add more of the same (d) ignore complaints
13. 13.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
17. 17.True or false: “skip testing” adds to bias. (a) True (b) False
18. 18.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) add varied examples
21. 21.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) ask different people (d) use one group only
23. 23.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
24. 24.True or false: “fix wrong labels” adds to bias. (a) True (b) False
25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
27. 27.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
28. 28.True or false: “test on many groups” adds to bias. (a) False (b) True
29. 29.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) copy old unfair choices
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
34. 34.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
36. 36.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) skip testing (d) ignore complaints
38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) add varied examples (d) test on many groups
39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
40. 40.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) fix wrong labels (d) add more of the same

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