Introduction to AI Class 10 Notes Important for Exams

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Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes
Introduction to AI Class 10 Notes

What is Intelligence?

It is the ability to understand and adjust to the environment using own abilities and knowledge.

Why Humans are developing machines?

Humans have been developing machines to make their lives easier. Machines are made with an intent of accomplishing tasks which are either too tedious for humans or are time consuming.

What is Artificial Intelligence?

Artificial Intelligence” refers to the simulation of human intelligence processes by machines, especially computer systems.

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.

Abilities that are involved in intelligence are :

1. Mathematical Logic Intelligence : It is an intelligence which help the person to regulate, measure and understand numerical symbols, abstraction and logic.

2. Linguistic Intelligence : It is a language processing skills both in terms of understanding or implementation in writing or verbally.

3. Spatial Visual Intelligence : It is defined as the ability to perceive the visual world and the relationship of one object to another.

4. Kineasthetic Intelligence : It is defined as the ability that is related to how a person uses his limbs.

5. Musical Intelligence : It is about person’s ability to recognize and create sounds, rhythms and sound pattern.

6. Intrapersonal Intelligence : It is defined as the ability to realize weakness, strength and his own feeling.

7. Existential Intelligence : This intelligence is related to religious and spiritual awareness.

8. Naturalist Intelligence : This intelligence is related to the ability to process the information around us.

9. Interpersonal Intelligence : This intelligence is the ability to communicate with others by understanding other people’s feelings and influence of the person.

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes
Introduction to AI Class 10 Notes

When a machine is called Artificial Intelligent?

A machine is an artificially intelligent when it can accomplish tasks by itself – collect data, understand it, analyse it, learn from it, and improve it.

How do machines become Artificially Intelligent?

Machines become intelligent like humans once they are trained with some information which helps them to achieve their tasks. AI machines also keep updating their knowledge to optimise their output.

How do you make decisions?

The basis of decision making depends upon the availability of information and how we experience and understand it. We can’t make “good” decisions without information. Having knowledge, experience, or insights of a certain situation, helps us to visualize what the outcomes could be.

Applications of Artificial Intelligence :

  1. Voice Assistant like Siri, Alexa, Cortana and Google assistant.
  2. Google Maps
  3. It is also used in computer games.
  4. It is also being used to monitor our health.

What is not Artificial Intelligence?

A fully automatic washing machine can work on its own, but it requires human intervention to select the parameters of washing which makes it an example of automation, not AI.

An air conditioner can be turned on and off remotely with the help of internet but still needs a human touch. This is an example of Internet of Things (IoT).

All the devices which are termed as “smart” are not AI-enabled. For example, a TV does not become AI-enabled if it is a smart one, it gets the power of AI when it is able to think and process on its own.

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes
Introduction to AI Class 10 Notes

Basics of Artificial Intelligence :

Various organisations have coined their own versions of defining Artificial Intelligence. Some of them are mentioned below:

According to NITI Aayog : AI refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making.

According to World Economic Forum : Artificial intelligence (AI) is the software engine that drives the Fourth Industrial Revolution. Its impact can already be seen in homes, businesses and political processes.

According to European Artificial Intelligence (AI) leadership : AI is not a well-defined technology and no universally agreed definition exists. It is rather a cover term for techniques associated with data analysis and pattern recognition.

According to Encyclopaedia Britannica : Artificial intelligence (AI), is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

AI, ML & DL :

AI Refers to any technique that enables computers to mimic human intelligence. It gives the ability to machines to recognize a human’s face; to move and manipulate objects; to understand the voice commands by humans.

Machine Learning (ML) is a subset of Artificial Intelligence which enables machines to learn by themselves using the provided data and make accurate Predictions/ Decisions.

In Deep Learning, the machine is trained with huge amounts of data which helps it in training itself around the data. Such machines are intelligent enough to develop algorithms for themselves.

NOTE : Machine Learning (ML) and Deep Learning (DL) are part of Artificial Intelligence (AI), but not everything that is Machine learning will be Deep learning.

Introduction to AI Class 10 Notes

Introduction to AI Domains :

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

1. Data Sciences : It is a domain of AI related to data systems and processes, in which the system collects numerous data, maintains data sets and derives meaning out of them. Example of Data Science is Price comparison websites. PriceGrabber, PriceRunner, Junglee, Shopzilla, DealTime are some examples of price comparison websites.

2. Computer Vision : It is abbreviated as CV, is a domain of AI that depicts the capability of a machine to get and analyse visual information like photographs, videos and pictures. The main objective of this domain of AI is to teach machines to collect information from pixels. Examples of Computer Vision are Self-Driving cars/ Automatic Cars, Face Lock in Smartphones etc.

3. Natural Language Processing : Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. for example: Email filters and Smart assistants.

AI Ethics :

AI ethics refers to the basic principles of AI system design that use the good code of conduct and produces the results. Ethics means what is right and unethical means what is wrong.

Data Privacy :

The world of Artificial Intelligence revolves around Data. Every company whether small or big is mining data from as many sources as possible. It is not wrongly said that Data is the new gold. One of the major sources of data for many major companies is the smartphone. Smartphone have made our lives easier. Another feature of smartphones nowadays is that they provide us with customised recommendations and notifications according to our choices.

Whenever you download an app and install it, it asks you for several permissions to access the app, we allow the app to get all the permissions that it wants. We need to understand that the data which is collected by various applications is ethical as the smartphone users agree to it. But at the same time if one does not want to share his/her data with anyone, he/she can opt for alternative applications. For example, an alternative to WhatsApp is the Telegram app which does not collect any data from us.

How AI is Bias?

Another aspect to AI Ethics is bias. Everyone has a bias of their own no matter how much one tries to be unbiased. When we talk about a machine, we know that it is artificial and cannot think on its own. It can have intelligence, but we cannot expect a machine to have any biases of its own. Any bias can transfer from the developer to the machine while the algorithm is being developed. Let us look at some of the examples:

  1. Majorly, all the virtual assistants have a female voice.
  2. If you search on Google for salons, the first few searches are mostly for female salons.

Who can access AI?

The people who can afford AI enabled devices make the most of it while others who cannot are left behind. Because of this, a gap has emerged between these two classes of people and it gets widened with the rapid advancement of technology.

AI may creates unemployment :

AI is making people’s lives easier. Most of the things nowadays are done in just a few clicks. On one hand where AI is advancing and improving the lives of people by working for them and doing some of their tasks tasks, the other hand points towards the lives of people who are dependent on laborious jobs and are not skilled.

This may start an era of mass unemployment where people having little or no skills may be left without jobs and others who keep up with their skills according to what is required, will flourish.

To overcome such an issue, one needs to be open to changes. As technology is advancing with time, humans need to make sure that they are a step ahead and understand this technology with its pros and cons.

AI for Kids :

Kids nowadays are smart enough to understand technology from a very early age. As their thinking capabilities increase, they learn everything more easily than an adult. for example A young boy in class 3 has got some Maths homework to finish. Soon, he starts asking Alexa to answer all his questions. Alexa replies with answers and the boy simply writes them down in his notebook. So, he is smart, but he might not be getting educated properly.

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes
Introduction to AI Class 10 Notes


Despite AI’s promises to bring forth new opportunities, there are certain associated risks that need to be mitigated appropriately and effectively. To give a better perspective, the ecosystem and the socio-technical environment in which the AI systems are embedded needs to be more trustworthy.

Disclaimer : I tried to give you the easy handouts of “Introduction to AI Class 10 Notes, but if you feel that there is/are mistakes in the handouts of “Introduction to AI Class 10 Notes” given above, you can directly contact me at NCERT Book and Study material available on CBSE official website are used as a reference to create above “Introduction to AI Class 10 Notes

Important links of Class X (Artificial Intelligence)

Chapter 1 Introduction to AI MCQ

Chapter 2 AI Project Cycle MCQ

Chapter 3 Natural Language Processing MCQ

Important links of Class IX (IT-402)

Unit 1 : Introduction to IT–ITeS Industry BOOK SOLUTIONS

Unit 1 : Introduction to IT–ITeS Industry NOTES

Unit 1 : Introduction to IT-ITeS MCQ

Unit 3 : Digital Documentation NOTES

Unit 3 : Digital Documentation BOOK SOLUTIONS

Unit 3 : Digital Documentation MCQ

Unit 4 : Electronic Spreadsheet BOOK SOLUTIONS

Unit 4 : Electronic Spreadsheet MCQ

Unit 5 : Digital Presentation MCQ

Important links of Class X (IT – 402)





Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes

Introduction to AI Class 10 Notes

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