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