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