The document provides an introduction to artificial intelligence (AI), including a brief history and the four phases of its development. It discusses what AI is, how it works by collecting and processing data through machine learning algorithms to make inferences. The key domains of AI are described as natural language processing, computer vision, speech recognition, and data. The types of AI are defined based on capabilities as artificial narrow intelligence, artificial general intelligence, and potential future artificial super intelligence. Related fields like machine learning, neural networks, data science, expert systems, and robotics are also outlined. Advantages, disadvantages, relevance to daily life, future possibilities, ethical concerns are presented at a high level.

2.  What do you think Artificial Intelligence is?
 What do you want to learn about AI?

3. Introduction
 Artificial Intelligence is a branch of Science which
deals with helping machines, finds solutions to
complex problems in a more human-like fashion.
 This generally involves borrowing characteristics from
human intelligence, and applying them as algorithms
in a computer friendly way.

4. Brief History of A I
 1941: First electronic computer (technology finally
available )
 1956: Term Artificial Intelligence introduced
 1960s: Checkers-playing program that was able to play
games with opponents
 1980s: Quality Control Systems
 2000: First sophisticated walking robot

5. Four phases in development of AI
 First phase : Use of internet – almost 1 billion users
 Second phase : The boost to the development of
mobile internet. Focus shifted from static to real time
data.
 Third Phase : The evolution of Internet of Things i.e
Appliances , sensors. Things/appliances becoming
smarter.
 Fourth Phase : This is the next coming phase. This will
surpass what human are capable of doing today.

6. How do you think AI can help you as you go about in your daily
life. Fill in your ideas

7. Lets watch How AI helps
 https://www.youtube.com/watch?v=oJC8VIDSx_Q

8. Guess…

9. Why these games?
 To understand what are three AI domains of AI and
how they are inter-related to each other.
 Three domains of AI – Natural Language Processing,
Computer Vision
 Data for AI
 They together make the concept of AI

10. How AI works
 Data collection ->Data Processing -> Machine
Learning Algorithm (supervised, unsupervised, re-
inforced, deep -> Training (weights, biases, data) ->
inference (machine can make predictions), Feedback
loop ->

11. Domains of AI
 Data :
 Data is at the heart of many AI and machine learning
applications. It involves gathering information from various
sources, which can be structured (like databases) or
unstructured (like text or images).
 Computer Vision:
 People generally use vision as their primary means of sensing
their environment, we generally see more than we hear, feel or
smell or taste.
 The goal of computer vision research is to give computers this
same powerful facility for understanding their surrounding.
Here A.I helps computer to understand what they see through
attached cameras

12. Domains of AI
 Natural Language Processing:
 The goal of NLP is to enable people and computers to
communicate in a natural (humanly) language(such as,
English) rather than in a computer language.

13. Speech Recognition
 The primary interactive method of communication
used by humans is not reading and writing, it is
speech.
 The goal of speech recognition research is to allow
computers to understand human speech. So that they
can hear our voices and recognize the words we are
speaking.
 It simplifies the process of interactive communication
between people and computers, thus it advances the
goal of NLP.

14. Types of AI(on the basis of its capabilities)
 Artificial Narrow intelligence (ANI)/Weak AI
Systems
The term ANI is used for the existing artificially intelligent
systems which are capable of performing simple tasks. The
intelligence of these systems is called narrow as they are
capable of performing only one task, but that particular
task is done better than human.
Ex. Netflix or YouTube suggesting you which videos you
should watch.
Siri, Alexa, human like working robots in movies, they work
much like human to solve any problem but still they are the
ANI.

15. Types of AI(on the basis of its capabilities)
 Artificial General Intelligence (AGI)/Strong AI systems
These AGI systems are at least as intelligent as human. These systems
are in the research stage. They will be capable of learning and
developing themselves. They will not be limited to one kind of task.
These systems are currently in research stage. These systems will actually
be intelligent like human
Artificial Super Intelligence(ASI)
• ASI represents an advanced form of AI that surpasses human
intelligence in every aspect, including problem-solving, creativity,
and emotional understanding.
• It is capable of self-improvement and has the potential to
outperform the best human minds in any field.
• ASI remains a speculative concept and has not been realized.

16. Fields related to AI
 Machine Learning : Capability of artificially created
machine to learn from experience.
 Neural Network : It’s the method that tries to behave like
human’s brain.
 Data Science : Data science analyses the data to extract the
appropriate set from the unstructured data.
 Data science includes
 Managing big data
 Data Acquisition (recording data in digital form)
 Data Modeling (processing of data)
 Data Analysis(inspecting, cleaning, modeling data with goal
of discovering useful info.)
 Data curation: ( integrating data from various sources)

17. EXPERT SYSTEMS
 An Expert System is a computer program designed to
act as an expert in a particular domain (area of
expertise).
 Phases in Expert System
 Expert systems currently are designed to assist
experts, not to replace them, They have been used in
medical diagnosis, chemical analysis, geological
explorations etc.

18. ROBOTICS
 A Robot is a electro-mechanical device that can by
programmed to perform manual tasks or a
reprogrammable multi functional manipulator
designed to move materials, parts, tools, or specialized
devices through variable programmed motions for
performance of variety of tasks.
 An ‘intelligent’ robot includes some kind of sensory
apparatus that allows it to respond to change in it’s
environment

19. Lets play
 Play quick draw
 https://quickdraw.withgoogle.com/
 https://studio.code.org/s/oceans/lessons/1/levels/2

20. Advantages
 They will probably be increasingly used in the field of
medicine.
 A knowledge based expert system, which can cross-
reference symptoms and diseases will greatly improve
the accuracy of diagnostics.
 Object recognition will also be a great aid to doctors.
 Along with images from cats cans or X-ray machines,
they will be able to get preliminary analysis of those
images.
 This of course will be possible only if people solve
legal questions that arise by giving power to a machine
to control or influence the health of a human

22. Disadvantages
 Self-modifying, when combined with self-replicating,
can lead to dangerous, nexpected results, such as a
new and frequently mutating computer virus.

23. Relevance of AI in daily life
 Automation : Automated learning
 Augmentation: Improving the technology
 Adaptation: Self learning ; not just executing the
programmed instruction.
 Analysis: self analysis of data.
 Accuracy: Improving towards accurate results e.g.
search engines continuously improve their search
results.
 Acquisition: Finding the solutions within the data.
 Use of AI in achieving SDGs:

24. FUTURE (+)
 The day is not far when you will just sit back in your
cozy little beds and just command your personal
Robot's to entirely do your ruts . He will be a perfect
companion for you. Just enjoy the Technology.

25. Future (-)
 But wait, don’t be happy. . !
 It may end in other way too. Some day there will be a knock
to your door. As you open it, you see a large number of Robots
marching into your house destroying everything you own and
looting you.
 This is because ever since there is an advantage in the
Technology, it attracts anti-social elements. This is true for
Robots too. Because when they will have full power to think
as human, even as of anti-social elements. So think thrice
before giving them power of Cognition.

26. Ethical concerns related to AI
 Bias and Fairness:
 Privacy
 Black Box Problem
 Job Displacement
 Security
 Moral Decision-Making
 Environmental Impact: increased amount of
carbon foot
https://youtu.be/59bMh59JQDo