Introduction to AI Class 10 Questions and Answers

These Class 10 AI Important Questions Chapter 1 Introduction to AI Class 10 Important Questions and Answers NCERT Solutions Pdf help in building a strong foundation in artificial intelligence.

Introduction to AI Class 10 Important Questions

Class 10 Introduction to AI Important Questions

Important Questions of Introduction to AI Class 10 – Class 10 Introduction to AI Important Questions

Subjective Questions :

Question 1.
What is Artificial Intelligence?
Answer:
When a machine posseses the ability to mimic human traits, i,e, make decisions, predict the future, learn and improve on its own, it is said to have artificial intelligence.

Question 2.
How do machines become Artificially Intelligent?
Answer:
Just as a baby initially struggles to walk and gradually learns to run and jump with help and practice, machines also become intelligent through training with information. Over time, they update their knowledge to optimize performance, continually improving their capabilities.

Question 3.
What have to learnt about AI?
Answer:
Artificial Intelligence (AI) is a branch of computer science that focuses on creating machines and software that can perform tasks that usually require humam intelligence. This includes things like understanding natural language, recognizing patterns, solving problems, and making decisions. AI systems use data to learn and improve over time, just like humans do.

You might encounter AI in everyday life through virtual assistants like Siri or Alexa, recommendation systems on Netflix and YouTube, or even in video games that adapt to your playing style. The goal of AI is to create technology that can think and learn, making our lives easier and more efficient.

Question 4.
Where do we collect data from?
Answer:
We collect data primarily from smartphones, which have become indispensable in our daily lives. These devices, constantly in use, offer a wealth of data through various interactions such as online shopping, web searches, and even casual conversations.

For example, discussing a product with a friend on apps like WhatsApp or searching for travel destinations on Google prompts personalized recommendations and advertisements on these topics. This data collection enables customized user experiences by predicting preferences and needs based on observed behaviors and interactions.

Question 5.
Why do apps collect data?
Answer:
Apps collect data primarily to enhance user experience, personalize services, improve functionality, and for targeted advertising purposes.

Question 6.
If you search on Google for salons, the first few searches are mostly for female salons. This is based on the assumption that if a person is searching for a salon, in all probability it would be a female. Do you think this is a bias? If yes, then is it a Negative bias or Positive one?
Answer:
The prioritization of female-centric search results for salons on Google can be considered a bias, specifically a gender bias. While it may stem from statistical data indicating a higher demand for female-oriented services, it reinforces stereotypes about who typically frequents salons.

This bias could be perceived as negative as it overlooks the diverse clients that salons cater to, potentially excluding or marginalizing male customers.

Question 7.
Should AI replace laborious jobs? Is there an alternative for major unemployment?
Answer:
While AI replacing laborious jobs may lead to mass unemployment for those with limited skills, there are alternatives to mitigate this impact. One solution is investing in education and training programs to upskill workers for roles that complement AI technology, such as programming, maintenance, and supervision of AI systems.

Additionally, governments can implement policies like universal basic income to provide financial support to those displaced by AI-driven automation, helping to reduce the socioeconomic gap between those who can access AI technology and those who cannot.

Introduction to AI Class 10 Very Short Answer Type Questions

Question 1.
Srishti learnt about Al terminologies but was not able to recollect the term that is used to refer to machines that perform tasks with vast amounts of data using neural networks. Help her with the correct term.
Answer:
Deep Learning

Question 2.
“This type of intelligence measure’s one’s awareness of the natural world around them and their sensitivities to any changes that occur. It allows us to identify the variation among two different species and understand how they are related”. Identify the type of intelligence described in the above sentence.
Answer:
Naturalist Intelligence

Question 3.
This is a fact that all human beings have all nine types of intelligences, but at different levels.
Name any two such intelligences.
Answer:

• Linguistic Intelligence
• Kinesthetic Intelligence

Question 4.
With reference to Al domain, expand the term CV.
Answer:
Computer Vision

Question 5.
Mention two types of machines which have evolved with time.
Answer:
The two machines that has evolved with time are refrigerators and air conditioners.

Question 6.
Mention any two examples of artificially intelligent applications in our smartphones.
Answer:
Google Maps, Google Assistant

Question 7.
People with this intelligence are skilled at assessing the emotions, motivations, desires, and intentions of those around them.
Name this type of intelligence.
Answer:
Interpersonal Intelligence

Question 8.
Ethics in Artificial Intelligence is important or not.
Answer:
Ethics in AI is essential. It ensures fairness, transparency, and accountability in AI systems, protects privacy, promotes safety, and considers the societal impacts of AI technologies.

Introduction to AI Class 10 Short Answer Type Questions

Question 1.
All of us use smartphones. When we install a new app, it asks us for several permissions to access our phone’s data in different ways. Why do apps collect such data?
Answer:
The apps collect such data

• To provide custor’aized notifications and recommendations.
• To improve the efficiency and accuracy of the app.

Question 2.
How do you understand whether a machine/application is Al based or not? Explain with the help of an example.
Answer:
Any machine tha.t has been trained with data and can make decisions/ predictions on its own can be termed as AI. Example, The bot or the automation machine is not trained with any data is not an AI while a chatbot that understands and processes human language is an AI.

Question 3.
If you do an irnage search for vacations on a popular search engiris, the first few searches mostly return the picture cof beaches. What is the concern here? Explain.
Answer:
In the given scenario, we are concerned about the bias. When we talk about a machine, we know that it is artificial and cannot think on its own. It can have intelligen: e , but we cannot expect a machine to have any biases of its own. Any bias can transfer from the developirr to the machine while the algorithm is being develop ed.

Question 4.
Define the term Machine Learning. Also give two applic ations of Machine Learning in our daily lives.
Answer:
Mackine Learning is a subset of Artificial Intelligence which enables machines to improve at tasks with experience (data).
Applications of Machine Learning

• The intention of Machine Learning is to enable machines to learn by themselves using the provided data and make accurate Predictions/ Decisions.
• Machine Learning is used in Snapchat Filters, NETFLIX recommendation system.

Question 5.
Explain any one example of AI bias.
Answer:
One example of AI bias is facial recognition systems being less accurate for individuals with darker skin tones, which can lead to misidentification and discriminatory outcomes.

Question 6.
Differentiate between Machine Learning (ML) and Deep Learning (DL).
Answer:

Question 7.
What role does data play irı AI based applications? Name any two sources of onlline data collection for building any Al based application.
Answer:
Data plays a crucial role in Al based applications as it serves as the foundation for training machine learning models, validating their performance, and improving their accuracy.
Two sources of online data collection for building AI-based applications include:
(a) Web Scraping .
(b) Application Programming Interfaces (APIs)

Introduction to AI Class 10 Long Answer Type Questions

Question 1.
Your grandmother watches you use Al applications. She wants to understand more about it. Help her understand the term artificial intelligence by giving the right definition and explain to heer with an example how machines become artificially intelligent.
Answer:
When a machine possesses the ability to mimic human traits, i.e., make decisions, predict the future, learn and improve on its own, it is said to have artificial intelligence. In other words, you can say that a machine is artificially intelligent when it can acconmplish tasks by itself – collect data, understand it, analyse it, learn from it, and improve it.

Machines become intelligent once they are trained with some data which helps them achieve their tasks. AI machines also keep updating their knowledge to optimise their output. For example, Netflix gives us recommendations on the basis of what we like. Whenever we start liking a new genre, it updates and gives better suggestions.

Question 2.
Ashwat is amazed to learn about his sister Ananya who is multi-talented and has excelled in academics, music, dancing, sports and painting. He was quite curious when Ananya told him that he too possessed all these intelligences like every human being does, but only at different levels. He wondered which intelligence she was talking about. Can you help Ashwat in learning about different types of intelligences by naming and explaining any four types of intelligences?
Competency Based O.ve.
Answer:
All humans possess 9 types of intelligence but at different levels. Four intelligences from them are as follows

1. Mathematical Logical Reasoning ability to regulate, measure, and understand numerical symbols, abstraction and logic.
2. Linguistic Intelligence Language processing skills both in terms of understanding or implementation in writing or verbally.
3. Spatial Visual Intelligence ability to perceive the visual world and the relationship of one object to another.
4. Kinesthetic Intelligence ability that is related to how a person uses his limbs in a skilled manner.

Question 3.
Samarth attended a seminar on Artificial Intelligence and has now been asked to write a report on his learnings from the seminar. Being a non-technical person, he understood that the AI enabled machine uses data of different formats in many of the daily based applications but failed to sync it with the right terminologies and express the details. Help Samarth define Artificial Intelligence, list the three domains of Al and the data that is used in these domains.
Answer:
Artificial Intelligence (AI) refers to any technique that enables computers to mimic human intelligence i.e., make decisions, predict the future, learn and improve on its own.

With respect to the type of data fed in the AI model, AI models can be broadly categorised into three domains:

• Data sciences
• Computer vision
• Natural Language Processing

Data Science takes input in the form of numeric and alphanumeric data. Computer Vision takes input in the form of images and videos. Natural Language Processing takes input in the form of text and speech.

Question 4.
Categorize the following under Data Science, Machine Learning, Computer Vision and NLP.
The latest technological advancements have made our lives convenient. Google Home, Alexa and Siri have been a huge help to non-tech savvy people. Features like Facial recognition and Facelock have added additional security to our gadgets. These advancements have also contributed in making our needs more approachable and convenient. Now you can even check the prices with Price comparison websites and order groceries online with chatbots. Did you know that you can even find how you are going to look when you grow old? Faceapps and Snapchat filters have made this possible!
Answer:

• Alexa, Siri-NLP
• Facial Recognition – Computer Vision
• Facelock – Computer Vision
• Price comparison websites – Data Sciences
• Chatbots – NLP
• Faceapps -Computer Vision/Machine Learning
• Snapchat Filters – Computer Vision/Machine Learning

Question 5.
Ms. Sooji is a beginner in the field of artificial intelligence. She got confused among the core terms like artificial intelligence, machine learning and deep learning. Many a times, these terms are used interchangeably but are they the same? Justify your answer. Help her in understanding these terms by drawing a well iabelled diagram to depict the interconnection of these three fields.
Answer:
No, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are not the same, although they are related.

Artificial Intelligence (AI) This is the broader concept of machines performing tasks in a way that we would consider “smart” if done by humAnswer:It encompasses a wide range of techniques aimed at enabling computers to perform tasks that normally require human intelligence.

Machine Learning (ML) ML is a subset of AI. It focuses on the development of algorithms that allow computers to learn from and make predictions or decisions based on data. ML algorithms improve their performance on a task as they are exposed to more data over time.

Deep Learning (DL) DL is a subset of ML that specifically deals with neural networks containing many layers (hence “deep”). These neural networks are capable of learning complex representations of data. DL has gained popularity due to its remarkable performance in various tasks, such as image recognition and natural language processing.

Question 6.
Will it be valid to say that not all the devices which are termed as “smart” are Al enabled? Justify this statement. Explain any two examples from the daily life which are commonly misunderstood as AI.
Answer:
Yes, it is valid to say that not all devices termed as “smart” are AI-enabled. While the term “smart” often implies some level of intelligence or automation, not all smart devices utilize artificial intelligence. Here’s why:

Thermostats Many modern thermostats are labeled as “smart thermostats” because they can be controlled remotely via a smartphone app and may have features like scheduling or adaptive learning. However, not all smart thermostats incorporate AI. Some simply rely on pre-programmed rules and user inputs to adjust temperature settings.

Wearable Fitness Trackers Wearable devices like fitness trackers are often referred to as “smart” because they can monitor various health metrics, track physical activity, and provide insights to users. While some advanced fitness trackers may utilize machine learning algorithms to analyze data and provide personalized recommendations, not all of them necessarily incorporate AI. Some rely on simpler rule-based algorithms for data processing and analysis.

Question 7.
Give any four examples of applications of AI that we see around us.
Answer:
Virtual Assistants Virtual assistants like Siri, Alexa, and Google Assistant use AI to understand and respond to user queries or commands. They help with tasks such as setting reminders, answering questions, and controlling smart home devices.

Recommendation Systems AI-powered recommendation systems analyze user preferences and behavior to suggest relevant products, services, or content. Examples include Netflix recommending movies and Amazon suggesting products based on past purchases.

Autonomous Vehicles AI plays a crucial role in autonomous vehicles, enabling them to perceive their environment, make decisions, and navigate safely. Companies like Tesla and Waymo are developing self-driving cars that use AI for real-time driving tasks.

Healthcare Diagnostics AI is used in healthcare for medical image analysis, disease diagnosis, and personalized treatment recommendations. AI algorithms can analyze medical images like X-rays and MRI scans, assist radiologists in detecting abnormalities, and predict patient outcomes based on clinical data.

Introduction to AI Class 10 Activities

Activity 1

Scenario You are locked inside a room with three doors to move out of the locked room and you need to find a safe door to get your way out. Behind the 1st door is a lake with deadly sharks. The 2 nd door has a mad psychopath ready to kill with a weapon and the 3rd one has a lion that has not eaten since the last two months.

Which door would you choose and why?
Answer The answer is gate number 3. The reason being that since the lion has not eaten for two months, he probably wouldn’t have survived till now and would be dead. This makes going out from gate 3 is the correct decision.

Activity 2

Scenario Aryan invited four of his friends to his farmhouse. In the morning, two of the friends Aryan had invited, died.

The police arrived at the farmhouse and found that both the friends were poisoned and that the poison was in the banana shake. The three surviving friends told the police that they hadn’t drunk the shake. The police asked,” Why didn’t you drink the shake ?”. Anmol said, ” I am allergic to Banana.”.
Riya said, “I am on a diet.” And Aryan said, “I ate too many banana while cooking, I just didn’t want anymore.” The policemen looked at the pictures of the party and immediately identified the murderer.

Look at the picture and identify who is the murderer? Also state why do you think that this is the murderer?
Answer The answer is Riya, it’s because she said she is on a diet and in the picture, she is eating a pizza and burger which means she lied.

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