CBSE Class 7 · Artificial Intelligence · 2026-27

Ethics and AI Bias: Worksheet

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

  1. What is AI bias?
    • (a) When an AI system gives unfair results for some groups of people
    • (b) When an AI runs slowly
    • (c) When a computer has a virus
    • (d) When an AI is switched off
  2. A company trained a hiring AI on 10 years of past hires, most of whom were men. What will the AI probably do?
    • (a) Prefer male candidates, copying the old pattern
    • (b) Choose fairly with no checks needed
    • (c) Reject everyone
    • (d) Hire only by height
  3. Which step best reduces bias in a face-recognition system?
    • (a) Test and train it with faces of many ages, genders and skin tones
    • (b) Use fewer photos
    • (c) Hide the results
    • (d) Only test it on the developers
  4. A translation tool changes a gender-neutral sentence about a nurse into “she” and about an engineer into “he”. Why?
    • (a) It learned gender stereotypes from patterns in its training text
    • (b) Nurses must be women
    • (c) The tool is always correct
    • (d) It chose randomly
  5. An AI system makes an unfair decision. Who is responsible for fixing it?
    • (a) The people and organisation who built and use it
    • (b) Nobody, because the computer did it
    • (c) Only the person affected
    • (d) The internet
  6. What does “transparency” mean for an AI system?
    • (a) People can understand how and why it made a decision
    • (b) The computer screen is see-through
    • (c) The AI keeps its reasons secret
    • (d) The AI works without data

Answer key: Ethics and AI Bias

  1. (a) When an AI system gives unfair results for some groups of people – So AI bias is about unfair results.
  2. (a) Prefer male candidates, copying the old pattern – It may unfairly favour men unless the data and model are checked and corrected.
  3. (a) Test and train it with faces of many ages, genders and skin tones – Testing accuracy separately for each group shows whether it is fair.
  4. (a) It learned gender stereotypes from patterns in its training text – The AI copied the stereotype: a form of bias.
  5. (a) The people and organisation who built and use it – They must investigate, correct it and explain what happened.
  6. (a) People can understand how and why it made a decision – This makes it possible to find and challenge bias.