Worksheets › Class 8 › Data and Fairness in AI
Class 8 · Computational Thinking and AI worksheetData and Fairness in AI
CBSE Computational Thinking and AI. How training data shapes a model, balanced and representative data, bias, accuracy for different groups, ways to make AI fairer. Every sheet has 20 questions in three sections and an answer key, and the questions change every time.
Sample questions
Real questions from this chapter, as the app sets them. Tap Answer to see the answer and working.
Section A · multiple choice
- 1.
Bias in a dataset means the data is:
- correctly labelled
- stored in a table
- too large to store
- unbalanced or unfair to some groups
Answer
(d) unbalanced or unfair to some groups
- 2.
An image classifier is trained on 10 pictures of sparrows and 90 pictures of crows. On new pictures, it is likely to be more accurate for:
- sparrows
- both equally
- crows
- neither, it will always be wrong
Answer
(c) crows
a model learns best what it has seen most often
- 3.
A training set has 36 pictures of cars and 4 pictures of bicycles. What percentage of the pictures are of cars?
- 95%
- 10%
- 90%
- 36%
Answer
(c) 90%
36 ÷ 40 × 100
Section B · short answer
- 4.
Why does an image classifier trained on many more bats than rackets often guess “bat”?
Answer
It learns from the examples it sees; with far more bats, it recognises bats better and leans towards them.
- 5.
A training set has 225 pictures of apples and 25 of oranges. How many pictures of oranges must be added to balance it?
Answer
200
225 − 25
Section C · long answer
- 6.
Explain with an example how unbalanced training data leads to unfair AI results.
Answer
e.g. a face-recognition model trained mostly on one group recognises them well but makes more mistakes for others, because it learned mainly from the first group.
Fresh sheets for your child
In the app, every Data and Fairness in AI sheet is new: the app remembers the questions your child has already had and leaves them out. Print the sheet as a PDF, or use notebook mode and write the answers in a notebook.
Coming soon for Android and iPhone.