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