This document discusses the Turing Test, which aims to determine if a machine can exhibit intelligent behavior that is indistinguishable from a human. It explores the outcomes of passing or failing the test, and whether those outcomes are justified. While the Turing Test has its limitations and does not encompass all types of intelligence, it has still inspired significant research in artificial intelligence and assessing machine behavior. The document concludes that the Turing Test, though not perfect, still provides a useful framework for categorizing machines and furthering the field of AI.
1. Turing Test: From
A.I. to Beyond.
Sanay Dev
1st Year, Computer Science
and Engineering
NIT Jamshedpur.
Abhishek Singh
1st Year, Computer Science
and Engineering
NIT Jamshedpur.
Shivam Kumar
1st Year, Computer Science
and Engineering
NIT Jamshedpur.
2. What is it all about?
• The credibility of Turing Test.
• Analyzing the outcomes of a Turing Test.
• The notion of Artificial Intelligence and
beyond
3. The Turing Test.
• The Imitation Game – Two interlocutors and
a interrogator.
• The machine can either pass the test, or fail.
4. Outcome of the Turing Test.
Success
• The machine is
categorized as
intelligent.
• The machine is
capable of exhibiting
human like
behaviours.
• It generates human
like responses.
Failure
• Branded as an Un-
Intelligent machine.
• Weak capability in
generating human like
responses.
5. Is The Success Justified ?
• Machines like ELIZA and PARRY have passed
but, by fooling judges.
• Can they be called intelligent ?
• Algorithm for true artificial consciousness –
still not generated
6. Does the Failure really needs to be
worried about ?
• Are sophisticated machines, like weather
forecasting bots, or surgical machines not
intelligent?
• Are all human behaviors intelligent?
7. Language and Intelligence
• Language forms the basis of the Turing Test.
• But is language the sole idea behind testing
every kind of intelligence.
• A machine for maneuvering fighter jets -
cannot pass the Turing Test, yet it is
intelligent.
8. Reasons for using Turing Test
• Measures the otherwise immeasurable
Artificial Intelligence.
• Most apt test for language based judgments.
• Inspires algorithms like CAPTCHA, ELIZA AND
PARRY.
9. Reasons for not using Turing
Test
• Doesn’t have a broad idea of
categorization.
• All human behaviours aren't
intelligent and vice versa.
• Machines are compelled to fool
the judges.
10. Conclusion
• Although not the necessary and sufficient
condition, still cannot be neglected or
discarded.
• Categorizes machines .
• An inspiration for many researches in the field
of Artificial Intelligence.
• Detailed study in generation of humanlike
entities has brought upon enhancement on
current status of humans.
11. “We can only see a short distance
ahead, but we can see plenty that
needs to be done.” ~ Alan Turing
REST IN PEACE.
Hinweis der Redaktion
In this test, a person acts as an interrogator who interacts with two interlocutors through text messages in computerized connection. Success of the program is achieved when after an allotted time for the test, the interrogator cannot distinguish between the human and the machine (which tries to act as the human) interlocutors.