Worksheet Solutions: Introduction to AI | Artificial Intelligence for Class 10 PDF Download

Multiple Choice Questions (MCQs)

Q1. What is the primary goal of developing machines as per the concept of AI?

a) To replace human intelligence completely
b) To operate without any human input or data 
c) To perform tedious or time-consuming tasks to assist humans
d) To limit human interaction with technology

Ans: c

The primary goal of AI is to assist humans by performing tasks that are tedious or time-consuming, rather than completely replacing human intelligence.

Q2. Which feature of modern smartphones demonstrates Artificial Intelligence?

a) Making phone calls
b) Providing personalized song or movie recommendations
c) Charging the battery
d) Adjusting screen brightness

Ans: b

Personalized recommendations are powered by AI algorithms that analyze user behavior and preferences, showcasing a key feature of AI in smartphones.

Q3. What does the term 'Artificial' in Artificial Intelligence signify?

a) Naturally occurring processes
b) Man-made systems or devices
c) Biological intelligence
d) Random decision-making

Ans: b

'Artificial' indicates systems or devices created by humans, differentiating them from naturally occurring intelligence.

Q4. Which ability is a key component of intelligence?

a) Perceiving and retaining information for adaptive behaviors 
b) Physical endurance
c) Operating without any data
d) Following pre-programmed instructions

Ans: a

Intelligence is characterized by the ability to perceive, retain, and use information for adapting to new situations, unlike simply following pre-programmed instructions.

Q5. Which of the following is an example of an AI-enabled application?

a) A manual calculator
b) A health-monitoring chatbot
c) A traditional ceiling fan
d) A non-smart television

Ans: b

A health-monitoring chatbot utilizes AI to analyze health data and provide responses, demonstrating AI integration, unlike the other options.

Q6. What distinguishes an AI machine from a fully automatic washing machine?

a) AI machines require constant human intervention
b) AI machines learn from data and optimize performance independently
c) AI machines cannot perform automated tasks
d) AI machines lack sensors

Ans: b

Unlike fully automatic washing machines, AI machines can learn from data and improve their performance over time without human intervention.

Q7. Which technology, when integrated with AI, enables cloud computing and remote access to AI tools?

a) Internet of Things (IoT)
b) Manual automation
c) Traditional robotics
d) Basic electrical circuits

Ans: a

The Internet of Things (IoT) allows devices to connect and communicate over the internet, facilitating cloud computing and access to AI tools.

Q.8: Which intelligence trait involves understanding and responding to conversations?

a) Mathematical Logical Reasoning
b) Linguistic Intelligence
c) Spatial Visual Intelligence
d) Kinesthetic Intelligence

Ans: b

Linguistic Intelligence is the correct answer because it involves language processing skills, such as understanding and generating verbal or written communication, which directly relates to conversational abilities.

Q9. Which of the following is NOT an example of AI integration?

a) Self-driving cars using AI for navigation
b) A smart TV without processing capabilities
c) Humanoid robots with decision-making abilities
d) Voice-automated home systems

Ans: b

A smart TV without processing capabilities does not integrate AI, while the other options do utilize AI technology in their functionalities.

Q10. How do AI machines improve their performance over time?

a) By following fixed instructions
b) By learning from training data and experiences
c) By requiring manual updates every time
d) By avoiding data inputs

Ans: b

AI machines enhance their performance by learning from training data and experiences, which allows them to adapt and improve over time.

True or False

Ans: False

Not all 'smart' devices utilize Artificial Intelligence; some may simply rely on basic programming or connectivity features.

Q.2: AI machines can optimize their performance based on experiences, similar to human learning.

Ans: True

AI systems can improve their performance through machine learning, which allows them to adapt based on previous experiences.

Q.3: A remotely controlled air conditioner is an example of an AI-enabled device.

Ans: False

A remotely controlled air conditioner operates through basic remote control technology and does not necessarily involve AI capabilities.

Q.4: The ability to make decisions based on information is a crucial aspect of intelligence.

Ans: True

Decision-making based on information is indeed a fundamental characteristic of both human and machine intelligence.

Q.5: AI, when integrated with robotics, can enable the development of self-driving cars.

Ans: True

The integration of AI with robotics is essential for the functionality of self-driving cars, allowing them to navigate and make decisions on the road.

Short Answer Questions

Q.1: Define Artificial Intelligence.
Ans: Artificial Intelligence (AI) is the ability of man-made machines to mimic human traits, such as making decisions, predicting outcomes, learning, and improving autonomously by collecting, analyzing, and learning from data.  

Q.2: How do modern smartphones demonstrate AI capabilities?
Ans: Modern smartphones demonstrate AI through features like personalized recommendations for music or movies, navigation systems, face filters, health tracking, and social connectivity based on user preferences.  

Q.3: Differentiate between AI and traditional automation.
Ans: AI machines learn from training data and improve independently, while traditional automation, like a washing machine, follows pre-programmed instructions and requires human intervention for adjustments.  

Q.4: Explain how human learning is compared to AI learning.
Ans: Human learning, such as learning to walk or speak through experience, is compared to AI learning, where machines are trained with data and improve their performance over time based on new experiences.  

Q.5: Why is information critical for decision-making, as shown in the scenarios?
Ans: Information is critical for decision-making, as shown in the lion scenario (choosing gate 3 because the lion is likely dead) and the murder scenario (identifying the murderer through photographic evidence), enabling accurate and informed choices.  

Long Answer Questions

Q.1: Explain the concept of intelligence with examples of its traits.
Ans: Intelligence is the ability to perceive or infer information and retain it as knowledge for adaptive behaviors in a specific context. Traits include interacting with the real world (e.g., language recognition), reasoning and planning (e.g., solving new problems), and learning from experience (e.g., a baby categorizing animals). For example, humans understand conversations and respond appropriately, decide what to eat based on available food, or comprehend written text, all involving perceiving, reasoning, and adapting. Similarly, AI machines mimic these traits by processing data to make decisions, such as recommending movies or navigating roads.  

Q.2: Discuss how the scenarios illustrate the importance of information in decision-making.
Ans: Two scenarios highlight the role of information in decision-making. In the first, a person chooses between three doors, one hiding a shark, another a psychopath, and the third a lion that hasn’t eaten in two months. The correct choice, gate 3, relies on the information that the lion is likely dead, ensuring safety. In the second scenario, the police identify the murderer by analyzing photographic evidence, which reveals Seema’s lie about being on a diet, as she was seen eating a burger and fries. These scenarios show that accurate information, whether past experience or visual data, is essential for humans and AI to make informed decisions, avoiding uncertainty or guesswork.  

Q.3: Describe how AI machines differ from other smart devices, with examples.
Ans: AI machines differ from other smart devices by their ability to learn from training data and optimize performance independently, unlike devices relying on pre-programmed instructions or IoT connectivity. For instance, a fully automatic washing machine requires human intervention to set parameters, making it automation, not AI. A remotely controlled air conditioner is an IoT device, not AI, as it lacks autonomous learning. In contrast, AI-enabled devices like self-driving cars or health-monitoring chatbots process data, learn from experiences, and make decisions, such as navigating roads or tracking user health, without constant human input.  

Q.4: Analyze the significance of integrating AI with other technologies like IoT and robotics.
Ans: Integrating AI with technologies like IoT and robotics enhances functionality and user experience. AI with IoT enables cloud computing and remote access to AI tools, such as voice-automated homes where devices respond to commands. AI with robotics leads to advanced applications like self-driving cars, which navigate autonomously, and humanoid robots with decision-making capabilities. These integrations combine AI’s learning and decision-making abilities with IoT’s connectivity and robotics’ physical capabilities, creating innovative solutions like biometric security systems and real-time language translation, making technology more efficient and immersive.  

Q.5: Evaluate how human learning is compared to AI learning and explain its implications for understanding AI.
Ans: Human learning, such as a child progressing from alphabets to fluent language or from crawling to walking, is compared to AI learning, where machines are trained with data and improve through experience. For example, just as humans refine skills like running or jumping, AI systems optimize tasks like navigation or recommendations based on new data. This analogy highlights AI’s ability to mimic human cognitive processes, making it relatable and emphasizing its potential to adapt and improve autonomously. The implication is that understanding AI as a learning system, akin to human development, helps students appreciate its dynamic nature and applications in real-world scenarios like smart devices.