The document explains artificial intelligence (AI) as the ability of computers to perform tasks typically requiring human intelligence, outlining its historical background and various types, including narrow AI and general AI. It also discusses machine learning, applications of AI across different sectors, and the pros and cons of AI technology, highlighting benefits such as efficiency and drawbacks like job displacement and ethical concerns. Additionally, the document touches on the role of robots in enhancing productivity and consistency in various tasks.

1. https://blog.google/
What is AI?
By AREEBA KHAN

2. Introduction of “AI”
Artificial intelligence AI is the ability of a computer or a
robot controlled by a computer to do tasks that are usually
done by humans because they require human intelligence
and discernment.
The term “artificial intelligence” was coined and came into
popular use. Dates of note: 1950: Alan Turing published
“Computer Machinery and Intelligence” which proposed a
test of machine intelligence called The Imitation Game .
For more

3. Types
Self awareness
Reactivemachine
Limited memory.
Theory of mind
AI
TYPE
Based
on
ability
Based
on
function
ality
ANI
AGI
ASI

4. AI Based on ability
• Narrow AI
Artificial narrow intelligence (ANI)
refers to the goal-oriented version
of AI designed to better perform a
single task.
• Super AI
It is a hypothetical form of AI that is not
yet possible to achieve.
• General AI
• The intention of an AGI system is to perform any
task that a human being is capable of. Related
information here.

5. Based on functionality
reactive machines
Reactive machines are AI systems that
have no memory and are task specific.
Theory of mind
Understand the needs of others
intelligent entities sophia is the best
example of it
Self awareness
Has human like intelligence and
self-awareness
Limited memory
Limited memory types refer to an A.I.'s
ability to store previous data and/or
predictions, using that data to make better
predictions

6. What is
machine
learning?
Machine
Learning
Machine learning focuses on developing
computer programs that can access data
and use it to learn for themselves.. IBM has
a rich history with machine learning.

7. Applications of AI
finance
government Auto
mobile
business
gaming
education
manufacturing
Health
care

8. Advantages and disadvantages
Advantages Disadvantages
• It can automate repetitive
tasks,
• improve efficiency,
• personalize experience
• Job replacement
• Ethical concern
• Security risk from hacking
more.

9. Robotics
What are the benefits of AI
robots for society?
Robots can offer increased productivity,
efficiency, quality, and consistency. Robots
can't get bored with their job. Until they
switch off, they can repeat the same task
continuously.