Presentation about Artificial Intellgnce

1. Presentation about
Artificial Intelligence

2. Context
 Objectives
 Background
 Introduction
 State Of Problem
 Litrature review (2)

3. Objectives
 Robotics is an affective field in our daily life . It
goes deep in all other fields whatever it is helping
make doing their jobs much easier , faster , and
more accurate than finishing them manually.
1- Identifying this main problem of robots, which is
robots takeover the world! And what did scientists
say about it over the years.
2- Evaluating the problem’s effects on our society and
other societies, too.
3- Knowing what other researchers have done to
solve it.
4- Knowing the result of this research and
recommend some solutions from my point of view.

4. Background

5. Introduction
 In 1992, John McCarthy[1], Found that
artificial intelligence to describe computer
programs which seemingly exhibit
intelligence.
 Robotics is the output of attempts when
people tried to add some behaviors and
attributes people to computers to make
them more intelligent

6.  With the revolution in technology ,
robotics and AI comes many worries
from scientists , businessmen ,
economists , and workers.
 The Propose of this proposal is to study
the main problem of Robots, which is
Robots Takeover!
Problem Statement

7.  "Machines will be capable, within
twenty years, of doing any work a
man can do!" - Simon H.A
 Social problems, for example the
percentage of the unemployment
will increase.
Problem Statement (Cont.)

8.  "Steven Hawking" [4], fears that with the
massive development in robotics and AI
robots can actually have their own
personalities and that surely affects
human existence .
 Businessmen like Martin "Ford”[5] , fears
that the technology may be a threat of a
jobless future as everything can be
automated by robotics scientists, and he
included these idea and the statistics of it
in his book "RISE OF THE ROBOTS".
Problem Statement (Cont.)

9.  Richard Bandler and John Grinder made a
theory called “Natural Language
Processing” or “NLP” which makes
robots more responsive by understanding
people languages, and deal with them in
an active way.
 "Arthur Samuel" [6] figured another
solution for this problem, which is called
“Machine learning”. It’s the way to make
robots able to learn from the situations
they were put in.
Literature Review

10.  We can automating the methods that help
us do our jobs but not investing systems to
do it and always include human elements
in any automated system.
 Example: we can provide the taxi driver
with software that help him stay safe and on
the right track even call emergency
automatically in danger instead of replacing
him with a robot .
Solutions