CBSE AI syllabus: all classes Class 8 Early AI · Unit 3
Class 8 AI Unit 3: Data and Fairness
5 hours · assessed through projects
What this unit is about
AI is only as fair as its data. This unit shows how AI uses data, how to find bias in a dataset (for example, too few examples of one group), and simple ways to make results fairer and more inclusive.
Learn it with the AI tutor, one minute each
What the unit covers
- How AI uses data.
- Identifying bias in datasets.
- Simple strategies for fairness and inclusivity.
Key terms
- Bias in data
- When a dataset over- or under-represents some people or cases.
- Fairness
- An AI giving equally good results to different groups.
- Inclusive data
- Data that covers all the kinds of people and situations the AI will meet.
Exam-style questions
1. A face-recognition app works poorly on darker skin. What is the likely cause?
Show answer →
Its training data had too few faces with darker skin, so it never learned them well.
2. Name one way to reduce bias.
Show answer →
Collect more balanced data that includes every group, and test the model separately on each group.
Sources
Unit names, hours and marks checked against the official CBSE 2026-27 curriculum on 1 November 2026. Explanations and questions are written by CogniGuru.