CBSE Class 6 · Artificial Intelligence · 2026-27

Introduction to AI: Worksheet

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

Which of these uses AI?
- (a) A calculator adding two numbers
- (b) A phone that unlocks when it recognises your face
- (c) A light switch
- (d) A printed school timetable
A washing machine runs the same 40-minute cycle every time you press start. What is this an example of?
- (a) Automation following fixed steps
- (b) AI learning from data
- (c) A robot with feelings
- (d) Natural language processing
How does a voice assistant learn to understand speech?
- (a) It learns patterns from many recordings of people speaking
- (b) It reads your mind
- (c) Someone types every possible sentence into it
- (d) It guesses randomly
Which of these can today’s AI NOT do?
- (a) Suggest the next word as you type
- (b) Recognise objects in a photo
- (c) Feel happy or sad the way a person does
- (d) Translate a sentence into Hindi
What does “machine learning” mean?
- (a) A machine that learns patterns from data instead of being given every rule
- (b) A machine that goes to school
- (c) Any machine with a screen
- (d) A machine that never makes mistakes
Recognising objects in photos belongs to which area of AI?
- (a) Computer vision
- (b) Natural language processing
- (c) Spreadsheets
- (d) Word processing

Answer key: Introduction to AI

(b) A phone that unlocks when it recognises your face – Face unlock compares your face with patterns it learned, so it uses AI.
(a) Automation following fixed steps – That is automation, not AI.
(a) It learns patterns from many recordings of people speaking – Then it uses those patterns on new speech, sometimes making mistakes.
(c) Feel happy or sad the way a person does – So AI cannot feel happy or sad like a person.
(a) A machine that learns patterns from data instead of being given every rule – It then uses those patterns to make predictions, which can still be wrong.
(a) Computer vision – Recognising objects in photos is computer vision.