[ CBSE CLASS 7 / ARTIFICIAL INTELLIGENCE / CHAPTER 4 / 2026-27 ]
Class 7 AI: Ethics and AI Bias – Questions and Answers
The Class 7 Ethics and AI Bias chapter explains that AI bias happens when a system gives unfair results for some groups, usually because its training data was unbalanced or reflected past unfairness. Students learn to spot bias, trace it to the data, and suggest fixes such as diverse data and testing.
[ WORKED EXAMPLE ]
What is AI bias?
Answer: When an AI system gives unfair results for some groups of people.
- Bias means results that systematically favour or harm certain groups.
- It often comes from unbalanced or one-sided training data.
- So AI bias is about unfair results.
What this chapter is about
Students learn what AI bias is and where it comes from: unbalanced data, past human decisions, and missing groups.
They trace biased results back through the system: which data, which pattern, which decision.
They discuss responsibility, transparency and fixes: diverse data, testing across groups, and human review.
[ HANDS-ON ACTIVITY ]
Sort it: fair or biased?
For each AI system, decide whether it is likely to be fair, or likely to be biased.
5 left · choose an item
Where does “A hiring AI trained only on past hires, who were mostly men” belong?
[ PRACTICE MODE / 6 QUESTIONS ]
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What is AI bias?
All Ethics and AI Bias questions with answers
Try each one first, then open it to check the answer and the reasoning.
Q1What is AI bias?
- When an AI system gives unfair results for some groups of people
- When an AI runs slowly
- When a computer has a virus
- When an AI is switched off
Answer: A. When an AI system gives unfair results for some groups of people
Hint: Bias is about fairness, not speed.
- Bias means results that systematically favour or harm certain groups.
- It often comes from unbalanced or one-sided training data.
- So AI bias is about unfair results.
Skill: Abstraction · Level: easy · Report an error
Q2A company trained a hiring AI on 10 years of past hires, most of whom were men. What will the AI probably do?
- Prefer male candidates, copying the old pattern
- Choose fairly with no checks needed
- Reject everyone
- Hire only by height
Answer: A. Prefer male candidates, copying the old pattern
Hint: An AI learns the patterns in its data.
- The past data shows mostly men being hired.
- The model learns “people like past hires are good”.
- It may unfairly favour men unless the data and model are checked and corrected.
Skill: Decomposition · Level: medium · Report an error
Q3Which step best reduces bias in a face-recognition system?
- Test and train it with faces of many ages, genders and skin tones
- Use fewer photos
- Hide the results
- Only test it on the developers
Answer: A. Test and train it with faces of many ages, genders and skin tones
Hint: Who might be missing from the data?
- Bias often comes from groups missing in the data.
- Adding diverse examples helps the model learn for everyone.
- Testing accuracy separately for each group shows whether it is fair.
Skill: Decomposition · Level: medium · Report an error
Q4A translation tool changes a gender-neutral sentence about a nurse into “she” and about an engineer into “he”. Why?
- It learned gender stereotypes from patterns in its training text
- Nurses must be women
- The tool is always correct
- It chose randomly
Answer: A. It learned gender stereotypes from patterns in its training text
Hint: Where did the tool learn which words go together?
- The tool learned from huge amounts of human-written text.
- That text often linked nurse with she and engineer with he.
- The AI copied the stereotype: a form of bias.
Skill: Pattern recognition · Level: medium · Report an error
Q5An AI system makes an unfair decision. Who is responsible for fixing it?
- The people and organisation who built and use it
- Nobody, because the computer did it
- Only the person affected
- The internet
Answer: A. The people and organisation who built and use it
Hint: AI is a tool made and used by people.
- AI does not choose its own data or purpose.
- The people who build, test and deploy it are accountable.
- They must investigate, correct it and explain what happened.
Skill: Abstraction · Level: easy · Report an error
Q6What does “transparency” mean for an AI system?
- People can understand how and why it made a decision
- The computer screen is see-through
- The AI keeps its reasons secret
- The AI works without data
Answer: A. People can understand how and why it made a decision
Hint: Think about explaining decisions.
- Transparency means being open about how a system works.
- People affected should be able to understand the reasons behind a decision.
- This makes it possible to find and challenge bias.
Skill: Abstraction · Level: medium · Report an error
Frequently asked questions
What does the Class 7 Ethics and AI Bias AI chapter cover?
The Class 7 Ethics and AI Bias chapter explains that AI bias happens when a system gives unfair results for some groups, usually because its training data was unbalanced or reflected past unfairness. Students learn to spot bias, trace it to the data, and suggest fixes such as diverse data and testing.
Which computational thinking skills does Ethics and AI Bias use?
Ethics and AI Bias mainly practises abstraction, decomposition. It links to Part 2: Artificial Intelligence.
Where are the official CBSE Ethics and AI Bias questions?
The official questions are in the CBSE Class 7 Computational Thinking and AI handbook for 2026-27, free on the CBSE Academic website. The practice on this page is original and mapped to the same chapter.