AI Class 9 Unit 1: Understanding AI

Class IX Artificial Intelligence – Unit 1.1: Understanding AI

Artificial Intelligence – Class IX

Unit 1.1 – Understanding AI

Click the + button to reveal the answer. The same + button is used for all question answers.

Part A – Multiple Choice Questions (MCQs)

1. Which one of the following is an application of AI?

  1. Remote controlled Drone
  2. Self-Driving Car
  3. Self-Service Kiosk
  4. Self-Watering Plant System
Show Answer
Answer: b. Self-Driving Car

2. This language is easy to learn and is one of the most popular languages for AI today:

  1. C++
  2. Python
  3. Ruby
  4. Java
Show Answer
Answer: b. Python

3. This field is enabling computers to identify and process images as humans do:

  1. Face Recognition
  2. Model-view-controller
  3. Computer Vision
  4. Eye-in-Hand System
Show Answer
Answer: c. Computer Vision

4. What does NLP stand for in AI?

  1. Neutral Learning Projection
  2. Neuro-Linguistic Programming
  3. Natural Language Processing
  4. Neural Logic Presentation
Show Answer
Answer: c. Natural Language Processing

5. Which of the following is not a domain of artificial intelligence?

  1. Data Management System
  2. Computer Vision
  3. Natural Language Processing
  4. Data Science
Show Answer
Answer: a. Data Management System

Question & Answers

1. What is Artificial Intelligence (AI)?

Show Answer
Artificial Intelligence (AI) is the ability of a machine or computer system to mimic human intelligence. An AI-enabled machine can collect data, understand and analyse it, learn from it, make decisions or predictions, and improve its performance.

2. What are the three domains of AI? Briefly describe them.

Show Answer
DomainDescriptionType of Data
Computer Vision (CV)Enables machines to interpret and understand visual information.Images and videos
Natural Language Processing (NLP)Enables machines to comprehend, generate and manipulate human language.Text and human language
Statistical DataUses statistical techniques to analyse, interpret and draw insights from numerical or tabular data.Numerical and tabular data

3. Explain any three applications of AI.

Show Answer

1. Face Lock in Smartphones: The front camera detects and captures a person's face and stores its features. Later, the phone compares the captured face with the stored features and unlocks the phone when they match.

2. Smart Assistants: Smart assistants such as Siri and Alexa recognise patterns in speech, understand their meaning and provide useful responses.

3. Fraud and Risk Detection: Banking and finance companies can analyse customer profiles, past expenditures and other data to estimate the probability of financial risk and loan default.

4. Name and explain any three games related with the three domains of AI.

Show Answer

1. Rock, Paper and Scissors – Data for AI / Statistical Data: The machine tries to predict the player's next move by learning from the player's previous moves.

2. Semantris – Natural Language Processing (NLP): It is a word-association game. The AI looks at the words in play and chooses the words it thinks are most closely related to the clue entered by the player.

3. Quick, Draw! – Computer Vision (CV): The player draws an object or idea, and AI uses a neural network to guess what the drawing represents.

5. How does a machine become intelligent?

Show Answer

Answer: A machine becomes artificially intelligent when it can collect data, understand it, analyse it, learn from it and improve its performance. AI algorithms or models are developed and trained using data so that the machine can produce intelligent outputs.

Book diagram showing Data + Algorithm = AI Machine
In simple words: Data + Algorithm = AI Machine.

6. Can you list down a few applications in your smartphone that widely make use of Computer Vision?

Show Answer
Answer: Face unlock, face filters, QR/barcode scanning and camera-based image recognition are examples of smartphone applications that use Computer Vision.

7. Draw out the difference between the three domains of AI with respect to the types of data they use.

Show Answer
AI DomainData Used
Computer Vision (CV)Images and videos
Natural Language Processing (NLP)Text and human language
Statistical DataNumerical and tabular data

8. Identify the features and the domain of AI used in the following applications shown in the exercise images: (a), (b) and (c).

Show Answer

(a) Online shopping/product recommendation: AI analyses user and product data to recommend products. Domain: Statistical Data.

(b) Self-driving/autonomous car: AI uses cameras and visual information to understand the surroundings and assist in driving. Domain: Computer Vision.

(c) Voice/speech assistant: AI understands spoken language and responds to the user. Domain: Natural Language Processing.

9. Separate the following areas based on the kinds of AI domains widely used in them: Crop productivity, Traffic regulation, Maps and navigation, Text editors and autocorrect, Identifying and predicting disease.

Show Answer
AI DomainAreas
Statistical DataCrop productivity; Maps and navigation; Identifying and predicting disease
Computer Vision (CV)Traffic regulation
Natural Language Processing (NLP)Text editors and autocorrect

10. After the pandemic, it has been essential for everyone to wear a mask. However, you see many people not wearing masks in public places. Which domain of AI can be used to build a system to detect people not wearing masks?

Show Answer
Answer: Computer Vision (CV). Computer Vision can analyse images or video from cameras and identify whether people are wearing masks.

11. Search for an online game that recognizes the image drawn by you. Write down the observations including the AI domain used by it.

Show Answer

Answer: Quick, Draw! is an online game in which the player draws an object or idea and AI tries to guess what has been drawn.

Observation: The AI can recognise drawings even when different people draw the same object in different ways.

AI Domain: Computer Vision (CV).

Quick Revision

TopicKey Point
Artificial IntelligenceMachines that can mimic human intelligence and perform tasks requiring human-like intelligence.
Computer VisionWorks with images and videos.
Natural Language ProcessingWorks with human language and text.
Statistical DataWorks with numerical and tabular data.
Rock, Paper & ScissorsData for AI / Statistical Data
SemantrisNatural Language Processing
Quick, Draw!Computer Vision

Prepared from Unit 1.1 – Understanding AI of the CBSE AI Facilitator Handbook, Grade IX.

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