CBSE Class 9 Artificial Intelligence (402) Unit 1 – Important Subjective Questions (2, 3 & 4 Marks) | Introduction to AI
Class 9 · Artificial Intelligence
CBSE Class 9 Artificial Intelligence (402)
Unit 1 – Introduction to Artificial Intelligence
These important subjective questions are designed according to the latest CBSE pattern. The questions include competency-based, application-based, case-study, and Higher Order Thinking Skills (HOTS) to strengthen conceptual understanding and prepare students for examinations.
Section A – 2 Mark Questions
Q1. Define Artificial Intelligence. Mention any two characteristics that make a machine intelligent.
Answer:
Artificial Intelligence (AI) is a branch of Computer Science that enables machines to perform tasks that normally require human intelligence such as learning, reasoning, problem-solving and decision-making.
Any two characteristics are:
- The machine can learn from data and improve its performance.
- The machine can analyse information and make intelligent decisions.
Example: Face Unlock on smartphones recognises the user's face before unlocking the device.
Q2. Differentiate between Artificial Intelligence and Human Intelligence on any two basis.
Answer:
| Artificial Intelligence | Human Intelligence |
|---|---|
| Works using data and algorithms. | Works using experience, emotions and reasoning. |
| Cannot think emotionally. | Can think creatively and emotionally. |
| Performs repetitive tasks consistently. | Performance may vary due to emotions or fatigue. |
Q3. Write any two real-life applications of Artificial Intelligence used in education. Explain how they help students or teachers.
Answer:
1. AI Chatbots
AI chatbots answer students' questions instantly and provide study support at any time.
2. Personalized Learning Systems
AI analyses students' performance and recommends suitable learning materials according to their learning speed.
Q4. A student unlocks her smartphone using Face Unlock and later asks a voice assistant to set an alarm.
Identify the AI domains involved in both situations and justify your answer.
Answer:
- Face Unlock: Computer Vision (CV), because it analyses facial images for identification.
- Voice Assistant: Natural Language Processing (NLP), because it understands spoken language and responds appropriately.
Q5. Differentiate between Rule-Based AI and Learning-Based AI with one suitable example of each.
Answer:
| Rule-Based AI | Learning-Based AI |
|---|---|
| Works on predefined rules. | Learns from data. |
| Cannot improve automatically. | Improves continuously through learning. |
| Example: Calculator. | Example: YouTube Recommendation System. |
Q6. State any two advantages of Artificial Intelligence in our daily life with suitable examples.
Answer:
1. Faster Decision Making
AI analyses large amounts of data quickly and provides accurate recommendations.
Example: Google Maps suggests the fastest route based on traffic conditions.
2. Automation
AI performs repetitive tasks without human intervention.
Example: Email Spam Filters automatically separate unwanted emails.
Q7. State any two limitations of Artificial Intelligence. Why is human supervision still important while using AI systems?
Answer:
Limitations:
- AI cannot understand emotions and human values.
- AI depends completely on the quality of data used for training.
Human supervision is necessary because AI may produce incorrect or biased results. Humans verify AI decisions before taking important actions.
Q8. A hospital uses an AI system to help doctors identify diseases from X-ray images. The final treatment decision is always taken by the doctor.
Answer the following:
- Why is AI used in this hospital?
- Why should doctors not depend completely on AI?
Answer:
(i) AI quickly analyses medical images and helps doctors detect diseases accurately.
(ii) Doctors should not depend completely on AI because AI can make mistakes, especially when the training data is incomplete or biased. Human judgement is essential for correct treatment decisions.
Q9. Artificial Intelligence is transforming different sectors of society.
Mention any two sectors where AI is widely used and explain one application in each sector.
Answer:
Healthcare
AI helps doctors detect diseases using medical imaging and diagnostic systems.
Finance
Banks use AI for fraud detection by analysing customers' transaction patterns.
Q10. Rahul says that Artificial Intelligence can completely replace human beings in every profession.
Do you agree with his statement? Give any two valid reasons to support your answer.
Answer:
No, I do not agree.
Reason 1: AI cannot understand human emotions, empathy and ethical values.
Reason 2: Many professions such as teaching, counselling and healthcare require human creativity, judgement and emotional intelligence that AI cannot fully replace.
Conclusion:
Artificial Intelligence is designed to assist humans, not completely replace them. Human intelligence and AI work best when used together.
Section B – 3 Mark Questions
Q11. Artificial Intelligence is becoming an important part of everyday life.
Identify any three AI applications that you use regularly and explain how AI makes each application smarter than a normal computer program.
Answer:
1. Google Maps
Google Maps uses AI to analyse live traffic conditions and suggests the fastest route to the destination.
2. YouTube Recommendations
AI studies the user's watch history and interests to recommend videos that the user is likely to enjoy.
3. Face Unlock
AI recognises facial features and compares them with stored data before unlocking the smartphone.
How AI makes them smarter:
- AI learns from previous data.
- AI continuously improves its performance.
- AI can make intelligent decisions automatically.
Q12. (Case Study)
A school wants to develop an AI-based attendance system. Cameras installed at the school gate automatically recognize students' faces and record their attendance.
Answer the following:
- Which AI domain is mainly used?
- Name one type of data required to train this AI model.
- State one benefit and one limitation of this system.
Answer:
(i) AI Domain:
Computer Vision (CV), because the system analyses images and recognises students' faces.
(ii) Data Required:
Images of students collected from different angles and lighting conditions.
(iii) Benefit:
Attendance is recorded automatically, saving teachers' time and reducing manual errors.
Limitation:
Poor lighting or changes in appearance may reduce recognition accuracy.
Q13. Explain the three domains of Artificial Intelligence with one suitable application of each.
Answer:
| AI Domain | Description | Application |
|---|---|---|
| Statistical Data | Works with numerical and tabular data to identify patterns and make predictions. | Weather Forecasting, Crop Prediction, Banking Fraud Detection. |
| Natural Language Processing (NLP) | Helps computers understand, process and generate human language. | ChatGPT, Alexa, Siri, Chatbots. |
| Computer Vision (CV) | Allows computers to analyse and understand images and videos. | Face Recognition, Self-driving Cars, Medical Imaging. |
Q14. (HOTS)
An online shopping company wants to recommend products to customers based on their previous purchases and browsing history.
Answer:
(i) AI Domain
Statistical Data (Data Science)
(ii) Data Collected
- Purchase History
- Search History
- Products Viewed
- Customer Ratings
(iii) Improvement in Customer Experience
AI studies customer behaviour and recommends products according to individual interests, making online shopping faster, easier and more personalized.
Q15. (AI Project Cycle)
A city administration wants to develop an AI system that predicts traffic congestion during peak hours.
Describe the first three stages of the AI Project Cycle that should be followed before building the AI model.
Answer:
1. Problem Scoping
Define the problem clearly, identify stakeholders, understand where the problem occurs and determine the expected solution using the 4Ws Problem Canvas.
2. Data Acquisition
Collect relevant traffic data such as vehicle count, road conditions, GPS records and historical traffic information.
3. Data Exploration
Clean the collected data, remove duplicate entries, identify missing values and study trends before developing the AI model.
Q16. (Application Based)
A school plans to introduce an AI chatbot that answers students' questions regarding examinations, holidays and timetable.
Answer the following:
- Which AI domain is mainly used?
- Why is AI suitable for this application?
- State one limitation of such chatbots.
Answer:
(i) Natural Language Processing (NLP).
(ii) NLP enables the chatbot to understand students' questions and provide suitable responses automatically.
(iii) The chatbot may fail to understand complex or unusual questions and therefore provide incorrect answers.
Q17. Artificial Intelligence has made life easier, but it also creates ethical challenges.
Explain any three ethical concerns that should be considered while developing AI systems.
Answer:
1. Privacy
Personal information should be collected only with the user's consent and protected from misuse.
2. Bias
Training data should represent all sections of society fairly to avoid discrimination.
3. Human Rights and Inclusion
AI systems should respect human rights and provide equal opportunities to all users without discrimination.
Q18. (Competency Based)
A farmer uses an AI mobile application that analyses crop images and suggests the amount of pesticide required. After several months, the app becomes more accurate because it continuously learns from newly uploaded images.
Answer the following:
- How is this AI system different from a traditional computer program?
- Which AI domain is mainly used?
- Why does the system become more accurate over time?
Answer:
(i) Unlike a traditional program that follows fixed rules, the AI system continuously learns from new data and improves its predictions.
(ii) Computer Vision (CV), because it analyses crop images.
(iii) As more crop images are uploaded, the AI model learns new patterns, reduces errors and improves its prediction accuracy.
Real-Life Learning:
Many modern agricultural AI applications help farmers identify diseases, recommend fertilizers and estimate crop yield by continuously learning from newly collected farm data.
Section C – 4 Mark Questions
Q19. (Case Study Based)
A school wants to develop an AI system that identifies students who may require additional academic support. The system analyses attendance records, unit test marks, assignment submission status and classroom participation before generating reports for teachers.
Answer the following:
- Identify the stakeholders involved in this project.
- Which AI domain will mainly be used?
- Mention any two benefits of this AI solution.
- Suggest one ethical concern that should be considered while building this system.
Answer:
(i) Stakeholders
- Students
- Teachers
- Parents
- School Administration
(ii) AI Domain
Statistical Data (Data Science), because the system analyses numerical data such as marks, attendance and assignments to identify learning patterns.
(iii) Benefits
- Teachers can identify weak students at an early stage.
- Students receive timely academic support and personalized guidance.
(iv) Ethical Concern
Student data should remain confidential. Personal information should only be collected with permission and should not be shared with unauthorized persons.
Q20. Explain the six stages of the AI Project Cycle with suitable examples.
Answer:
| Stage | Description | Example |
|---|---|---|
| Problem Scoping | Identify the problem and stakeholders. | Traffic congestion in a city. |
| Data Acquisition | Collect relevant data. | Traffic sensor readings and GPS data. |
| Data Exploration | Clean and analyse collected data. | Remove duplicate traffic records. |
| Modeling | Create an AI model using suitable algorithms. | Develop a traffic prediction model. |
| Evaluation | Test the model for accuracy. | Compare predicted traffic with actual traffic. |
| Deployment | Implement the AI solution for real users. | Launch the traffic prediction app. |
The AI Project Cycle provides a systematic approach for developing reliable AI solutions.
Q21. (Competency Based)
A district hospital wants to develop an AI application that detects lung infections from chest X-ray images. Thousands of X-ray images are used to train the AI model before it is tested in hospitals.
Answer the following:
- Identify the AI domain used in this application.
- Describe any two stages of the AI Project Cycle involved before deployment.
- State one advantage of AI in healthcare.
- Mention one limitation of depending completely on AI.
Answer:
(i)
Computer Vision (CV), because the AI system analyses medical images.
(ii)
- Data Acquisition: Collect thousands of X-ray images of healthy and infected patients.
- Data Exploration: Remove poor-quality images, resize them and organize them before training.
(iii)
AI helps doctors detect diseases quickly and improves diagnosis accuracy.
(iv)
Incorrect or biased training data may produce wrong medical predictions. Therefore, doctors should always verify AI results before treatment.
Q22. (HOTS)
Artificial Intelligence has become an important technology, but many people believe that it may replace human jobs in the future.
Discuss both the positive and negative impact of AI on employment by giving any four suitable points.
Answer:
Positive Impact
- Automates repetitive and time-consuming work.
- Creates new career opportunities in AI, Data Science and Robotics.
Negative Impact
- Some routine jobs may disappear due to automation.
- Workers need continuous upskilling to remain employable.
Conclusion:
AI should be viewed as a technology that assists humans rather than replacing them completely. Human creativity, ethics and emotional intelligence remain essential.
Q23. (AI Ethics)
Differentiate between Ethics and Morality. Explain how AI Bias can affect the performance of an AI system with one suitable example. Also suggest any two methods to reduce AI Bias.
Answer:
| Ethics | Morality |
|---|---|
| Guiding principles used to decide what is right or wrong. | Beliefs and values accepted by society. |
| May change according to situations. | Usually influenced by culture and traditions. |
AI Bias Example
An AI recruitment system rejects women candidates because the training data mainly contains information about male employees.
Methods to reduce AI Bias
- Use diverse and balanced training data.
- Regularly test and evaluate AI models for fairness.
Q24. (Case Study Based)
A recruitment company develops an AI system to shortlist candidates for job interviews. After several months, it is found that the AI rejects most applications submitted by women, even though many are equally qualified.
Answer the following:
- What is the major problem in this AI system?
- Why did this problem occur?
- Suggest two methods to improve the AI system.
- Which AI Ethics principle is being violated?
Answer:
(i) The AI system is showing Bias.
(ii) The model was trained using biased or unbalanced historical recruitment data.
(iii)
- Use unbiased and representative training data.
- Regularly audit and retrain the AI model.
(iv)
The principle of Fairness (Bias) and Inclusion is being violated.
Q25. (Integrated Competency Question)
Your school plans to introduce an AI-based Smart Campus System that performs the following tasks:
- Face recognition for attendance.
- Voice-based enquiry system.
- Prediction of electricity consumption.
- Automatic security monitoring.
Answer the following:
- Identify the AI domain used for each application.
- Explain any two benefits of implementing this system.
- Mention one challenge while implementing the system.
- Suggest one ethical practice that the school must follow before collecting student data.
Answer:
(i) AI Domains
| Application | AI Domain |
|---|---|
| Face Recognition Attendance | Computer Vision |
| Voice-based Enquiry | Natural Language Processing |
| Electricity Prediction | Statistical Data |
| Security Monitoring | Computer Vision |
(ii) Benefits
- Improves efficiency by automating routine tasks.
- Saves time and provides faster decision-making.
(iii) Challenge
Protecting student privacy and maintaining accurate data.
(iv) Ethical Practice
The school should obtain proper consent before collecting personal data and ensure that the information is stored securely.
Revision Tips
- Revise all three AI Domains with examples.
- Learn all six stages of the AI Project Cycle in sequence.
- Understand the difference between Ethics and Morality.
- Practice identifying AI Bias from real-life situations.
- Remember the four principles of AI Ethics: Human Rights, Bias, Privacy and Inclusion.
- Relate AI concepts with real-life applications for competency-based questions.
★★★★★ End of Class 9 AI Unit 1 Subjective Question Bank with Answers ★★★★★