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 is the odd one out? (a) add more of the same (b) use one group only (c) ask different people (d) skip testing
- 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
- 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 4.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
- 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
- 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
- 7.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) test on many groups (d) fix wrong labels
- 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
- 9.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
- 10.True or false: “balance the data” adds to bias. (a) False (b) True
- 11.Which of these adds to bias? (a) ask different people (b) add more of the same (c) fix wrong labels (d) check who is missing
- 12.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
- 13.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
- 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
- 15.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) add more of the same (d) fix wrong labels
- 16.True or false: “check who is missing” adds to bias. (a) True (b) False
- 17.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) test on many groups
- 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
- 19.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) ask different people (d) test on many groups
- 20.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) fix wrong labels (d) use one group only
- 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ask different people (d) add varied examples
- 22.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) fix wrong labels (d) add varied examples
- 23.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) skip testing (d) copy old unfair choices
- 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
- 25.True or false: “use one group only” adds to bias. (a) False (b) True
- 26.Which of these adds to bias? (a) use one group only (b) ask different people (c) check who is missing (d) add varied examples
- 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
- 28.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
- 29.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) check who is missing (d) fix wrong labels
- 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
- 31.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
- 32.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) skip testing (d) add varied examples
- 33.Which of these helps reduce bias? (a) ignore complaints (b) check who is missing (c) skip testing (d) copy old unfair choices
- 34.True or false: “add varied examples” adds to bias. (a) False (b) True
- 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
- 36.True or false: “skip testing” helps reduce bias. (a) True (b) False
- 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
- 38.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
- 39.True or false: “ignore complaints” adds to bias. (a) True (b) False
- 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
Answer key
- ask different people
- adds to bias
- False
- copy old unfair choices
- one-sided data
- its training data
- use one group only
- one-sided data
- False
- False
- add more of the same
- False
- adds to bias
- bias from data
- add more of the same
- False
- test on many groups
- reduces bias
- ignore complaints
- fix wrong labels
- copy old unfair choices
- skip testing
- check who is missing
- one-sided data
- True
- use one group only
- balanced data
- True
- test on one group only
- reduces bias
- True
- add varied examples
- check who is missing
- False
- one-sided data
- False
- False
- one-sided data
- True
- reduces bias
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students