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