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