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Class 10 Computer Science — Chapter 7: Applications of AI

Board: Punjab Board

Exercise Solutions

Multiple Choice Questions (MCQs)

1. What does AI stand for?

(a) Automatic Intelligence
(b) Artificial Intelligence
(c) Active Interface
(d) Applied Information

Correct Answer: (b) Artificial Intelligence

2. Which of the following is an example of Natural Language Processing (NLP)?

(a) Online calculator
(b) Voice typing
(c) File copying
(d) Image editing

Correct Answer: (b) Voice typing

3. What type of data helps AI make better decisions?

(a) Short and weak data
(b) Only images
(c) Large and good-quality data
(d) Data without labels

Correct Answer: (c) Large and good-quality data

4. Which tool uses AI to understand human voice?

(a) Video player
(b) Translator
(c) Speech recognition
(d) Mouse

Correct Answer: (c) Speech recognition

5. What is the role of robots in factories?

(a) Watching videos
(b) Making websites
(c) Doing repeated or dangerous tasks
(d) Writing stories

Correct Answer: (c) Doing repeated or dangerous tasks

6. What is a challenge of using AI?

(a) It works slowly
(b) It cannot be turned off
(c) It may replace human jobs
(d) It cannot store data

Correct Answer: (c) It may replace human jobs

7. What is bias in AI?

(a) A computer error
(b) Equal results for everyone
(c) Unfair results due to bad data
(d) Fast performance

Correct Answer: (c) Unfair results due to bad data

8. Why is fairness important in AI?

(a) So the system looks good
(b) To avoid slow speed
(c) To give equal treatment to all users
(d) To use more memory

Correct Answer: (c) To give equal treatment to all users

9. Which of these is NOT an AI tool?

(a) Chatbot
(b) Face detection
(c) Spellchecker
(d) Paper notebook

Correct Answer: (d) Paper notebook

Short Answer Questions

1. What is Artificial Intelligence (AI)?

Answer:

Artificial Intelligence (AI) is a branch of computer science that focuses on developing intelligent machines and software capable of performing tasks that normally require human intelligence, such as reasoning, problem-solving, learning, understanding language, and making decisions.

2. How is AI used in daily life?

Answer:

AI is used in daily life through virtual assistants such as Siri and Google Assistant, navigation apps such as Google Maps for traffic updates, recommendation systems on YouTube and Netflix, facial recognition for unlocking smartphones, and automated spam filtering in emails.

3. Why does AI need large and good-quality data?

Answer:

AI algorithms learn patterns and rules from data. Large and high-quality datasets help AI models learn accurately, perform better in new situations, reduce errors, and avoid bias. This leads to more reliable predictions and better decisions.

4. What is the role of Natural Language Processing (NLP)?

Answer:

Natural Language Processing (NLP) enables computers to understand, interpret, analyze, and generate human language in spoken and written forms. It is used in language translation apps, voice assistants, automated chatbots, and text autocorrect tools.

5. Give one example of robotics in everyday life.

Answer:

A robotic vacuum cleaner, such as Roomba, is an example of robotics in everyday life. It uses sensors to navigate floors and clean dirt automatically without direct human supervision.

6. What is the purpose of speech recognition technology?

Answer:

Speech recognition technology converts spoken human audio into readable digital text or commands that a computer can understand. It enables hands-free device operation, voice typing, audio transcription, and voice control.

7. How do recommendation systems work?

Answer:

Recommendation systems analyze users’ previous activities, search queries, purchases, and content interactions. Using machine learning algorithms, they predict and suggest content or products that users are likely to find interesting.

8. What is meant by bias in AI systems?

Answer:

Bias in AI systems occurs when an AI model produces systematically unfair or prejudiced results against particular groups of people. This can happen when training data is incomplete, unrepresentative, or reflects existing human biases.

9. Why should AI systems be transparent and fair?

Answer:

AI systems should be transparent and fair to build trust, prevent discrimination, ensure equal opportunities for all users, and allow developers to explain and examine how automated decisions are made.

Long Answer Questions

1. What is the importance of data in AI? Explain why good and large amounts of data are needed.

Answer:

Importance of Data in AI

Data is the foundation of many Artificial Intelligence systems. Unlike traditional programs that follow explicitly coded rules, modern AI models, especially Machine Learning and Deep Learning models, learn patterns, rules, and decision-making capabilities by analyzing training data.

Why Large and Good-Quality Data Is Needed

Higher Prediction Accuracy: A diverse range of training examples helps an AI model learn patterns and make more accurate predictions.
Reduction of Overfitting and Errors: Small datasets may cause a model to memorize irrelevant details rather than learn general patterns, resulting in errors when processing new data.
Prevention of Bias: Large, balanced datasets can provide better representation of different groups and help reduce unfair or biased results.
Robustness: Clean, high-quality data reduces the risk of missing values, incorrect entries, and corrupted information affecting the AI system’s performance.

2. Write in detail about any three real-world applications of AI, such as NLP, robotics, or speech technology.

Answer:

1. Natural Language Processing (NLP)

NLP allows machines to read, process, understand, and generate human language.

Real-World Applications:

Language Translation: Tools such as Google Translate help people communicate across different languages.
Customer Service Chatbots: Chatbots used in banking apps such as JazzCash and e-commerce stores process customer queries automatically and provide assistance around the clock.

2. Robotics

Robotics combines AI software with mechanical hardware to create autonomous or semi-autonomous machines that perform physical tasks.

Real-World Applications:

Manufacturing: Industrial robots perform repetitive, heavy-lifting, and high-precision tasks, such as welding and assembly.
Healthcare: Surgical robots assist doctors in performing delicate procedures with precision.

3. Speech Recognition Technology

Speech recognition converts spoken audio signals into text or commands that a computer can understand.

Real-World Applications:

Voice Assistants: Google Assistant, Siri, and Alexa allow users to set alarms, make calls, and control smart devices using voice commands.
Accessibility: Speech recognition supports automatic live subtitles, voice typing, and dictation.

3. Explain the ethical issues in AI. Why are fairness, privacy, and transparency important?

Answer:

As AI systems are increasingly used in recruitment, law enforcement, banking, and healthcare, several ethical issues arise.

1. Fairness

Issue: AI models trained on biased historical data may continue discrimination. For example, an automated hiring system might favor certain groups over others.
Importance: Fairness promotes equal treatment, prevents discrimination, and provides unbiased opportunities for individuals.

2. Privacy

Issue: AI systems may process large amounts of personal information, including search histories, location records, and biometric data.
Importance: Protecting privacy prevents unauthorized surveillance, misuse of personal information, identity theft, and breaches of confidentiality.

3. Transparency (Explainable AI)

Issue: Some complex AI algorithms operate like “black boxes,” making it difficult to understand how particular decisions or outputs are produced.
Importance: Transparency allows users and developers to inspect, understand, and audit AI systems and hold them accountable, especially when automated decisions affect loan approvals, medical diagnoses, or human rights.

Notes by Sir Dilawar

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