This presentation explores the Turing Test, introduced by Alan Turing in 1950, to assess a machine's ability to exhibit human-like intelligence. We discuss its historical significance, technological advancements, philosophical implications, and real-world applications, highlighting the ongoing pursuit of creating AI indistinguishable from humans.

1. Presentation on – Turing Test In Artificial
Intelligence
Department of Computer Science and Applications
Atal Bihari Vajpayee Vishwavidyalaya, Koni, Bilaspur,
Chhattisgarh
Presented to – Mr. Mukesh Kumar
Sinha
Assistant Professor
(Guest Faculty)
Presented by – Kishan Kumar Kaushik
B.Sc. (Hons.) 4th Semester, Computer
Science
Roll No. - 2111805

2. INTRODUCTION
The Turing Test was created by Alan Turing and
Turing introduced the test in his 1950 paper called
"Computing Machinery and Intelligence" while at the
University of Manchester, a test of a machine's ability
to exhibit intelligent behavior equivalent to, or
indistinguishable
from, that of a human. This presentation will explore
the
capacity of artificial intelligence to pass the Turing
Test.

3. HISTORY
The Turing Test has been the
subject of much debate over the
years,with some arguing that it is
an outdated and flawed measure
of AI's intelligence.However,it
remains a widely recognized
benchmark in the field.We will
discuss the origins and evolution
of the Turing T
est.

4. THE TEST
The Turing Test involves a human
evaluator engaging in a series of text-
based conversations with both a human
and a machine,without knowing which is
which. If the machine can successfully
trick the evaluator into thinking it is
human,it is said to have passed the test.
We will delve into the specific
requirements of the test.

5. HOW THE TEST WORKS?
The Turing test is based on a party game
"Imitation game," with some modifications.
This game involves three players in which one
player is Computer, another player is human
responder, and the third player is a human
Interrogator, who is isolated from other two
players and his job is to find that which player
is machine among two of them.

6. CONTINUE…
Consider, Player A is a computer, Player B is
human, and Player C is an interrogator.
Interrogator is aware that one of them is
machine, but he needs to identify this on
the basis of questions and their responses.

7. CONTINUE…
The conversation between all players is via
keyboard and screen so the result would not
depend on the machine's ability to convert
words as speech.

8. CONTINUE…
In this game, if an interrogator would not be
able to identify which is a machine and
which is human, then the computer passes
the test successfully, and the machine is
said to be intelligent and can think like a
human.

9. CHATBOTS TO ATTEMPT
THE TURING TEST:
ELIZA: ELIZA was a Natural language processing
computer program created by Joseph Weizenbaum.
It was created to demonstrate the ability of
communication between machine and humans. It was
one of the first chatterbots, which has attempted the
Turing Test.

10. CHATBOTS TO ATTEMPT
THE TURING TEST:
Parry: Parry was a chatterbot created by Kenneth
Colby in 1972. Parry was designed to simulate a
person with Paranoid schizophrenia(most common
chronic mental disorder). Parry was described as
"ELIZA with attitude." Parry was tested using a
variation of the Turing Test in the early 1970s.

11. In the year 1980, John Searle presented "Chinese
Room" thought experiment, in his paper "Mind,
Brains, and Program," which was against the validity
of Turing's Test. According to his argument,
"Programming a computer may make it to
understand a language, but it will not produce a real
understanding of language or consciousness in a
computer."
THE CHINESE ROOM
ARGUMENT:

12. He argued that Machine such as ELIZA and Parry
could easily pass the Turing test by manipulating
keywords and symbol, but they had no real
understanding of language. So it cannot be described
as "thinking" capability of a machine such as a
human.
THE CHINESE ROOM
ARGUMENT:

13. Limitations
While the Turing Test is a useful tool
for assessing AI's ability to mimic
human intelligence, it has its
limitations. For instance, it does not
measure creativity or emotional
intelligence, which are important
aspects of human intelligence. We will
explore the criticisms of the test.

14. Applications
Despite its limitations,the Turing
Test has many applications in the
field of AI,such as natural
language processing and
machine learning.We will
examine the practical uses of
the test.

15. 1.Evaluating Artificial Intelligence: The Turing test can
be used as a benchmark to assess the progress of
artificial intelligence research.
2.Chatbots and Virtual Assistants: Chatbots and
virtual assistants aim to provide human-like
interactions with users.
3.Natural Language Processing: The Turing test has
been instrumental in advancing natural language
processing (NLP) techniques.
APPLICATIONS

16. In conclusion, the Turing Test remains a valuable tool for
evaluating AI's capacity for human-like intelligence, but
it is not without its flaws. As AI continues to evolve, so
too must our methods for assessing its intelligence.
CONCLUSI
ON

17. Do you have any
questions?

18. THANK YOU!