CBSE Class 8 · Artificial Intelligence · 2026-27

Data and Fairness: Worksheet

Skills: Decomposition, Abstraction. Circle the correct answer. Show your working in the space beside each question.

  1. What is a representative dataset?
    • (a) One that includes all the kinds of people or cases the AI will meet
    • (b) One that is very small
    • (c) One with only one kind of example
    • (d) One that nobody can see
  2. A dataset has 900 cat photos and 100 dog photos. What is the likely problem?
    • (a) The model may lean towards predicting “cat” and do worse on dogs
    • (b) The model will be perfect
    • (c) Dogs cannot be photographed
    • (d) There is no problem with imbalance
  3. A model is 95% accurate for one group of users and 70% for another. What should the team conclude?
    • (a) The model is unfair to the second group and needs investigation
    • (b) An overall average is all that matters
    • (c) The second group is using it wrong
    • (d) Nothing; 70% is the same as 95%
  4. Many diseased leaves in a dataset were labelled “healthy” by mistake. What happens to the model?
    • (a) It learns wrong patterns and may call sick plants healthy
    • (b) It fixes the labels itself
    • (c) Nothing changes
    • (d) It becomes more accurate
  5. What does “consent” mean when collecting data?
    • (a) People agree to their data being collected and used
    • (b) Data is collected secretly
    • (c) Data is copied from anywhere
    • (d) Data is sold without asking
  6. A survey about how families use the internet is done only through an online form. Who is missing?
    • (a) Families without internet access
    • (b) Families with fast internet
    • (c) Nobody
    • (d) Only teachers

Answer key: Data and Fairness

  1. (a) One that includes all the kinds of people or cases the AI will meet – Otherwise it may work poorly for missing groups.
  2. (a) The model may lean towards predicting “cat” and do worse on dogs – Collecting more dog photos balances the data.
  3. (a) The model is unfair to the second group and needs investigation – The team should check the data for that group and improve it.
  4. (a) It learns wrong patterns and may call sick plants healthy – Checking labels during data exploration prevents this.
  5. (a) People agree to their data being collected and used – Fair data is collected with consent.
  6. (a) Families without internet access – So the results do not represent all families.