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