Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Turing Test: Why it is relevant today
1. Turing test:
Why it is relevant today
Huma Shah, PhD
Research Fellow
School of Computing, Electronics & Mathematics
Coventry University, UK
HumaShah1@gmail.com
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2. Introduction
Natural language technologies – human conversation
is key
My work
Human conversation in the Turing test
Practical Turing test experiments
Findings from human judge – English language
dialogue system interactions
Future: Human-centred computing conference,
Kazan, August 2017
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3. Data speaking to you in Natural Language
Natural Language is key to all industries:
transportation, finance & banking, law,
construction, governance, agriculture, civil
organisations, education, entertainment
Vast amount of data collected, artificial
intelligence will help to tell you about the hidden
trends in natural language, including through
humanlike conversation
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4. Confidence with Natural Language
Skolkovo AI Conference, November 14, 2016 - Moscow
Retired/pensioner using Google’s voice on Android ‘phone
5. Convenience of Speech Recognition
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Dictating message
7. Trust in Natural Language is an as asset
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Text received
8. Alan Turing and Natural Language
Turing knew the power of natural
language
He evolved his imitation game
from chess (1948), to questions-
answers (1950)
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9. My work
PhD in ‘Deception-detection and Machine
Intelligence in Practical Turing tests’.
Contributed two different versions of the test:
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Simultaneous comparison
Viva voce: one-to-one test
10. My work
PhD in Deception-detection and Machine
Intelligence in Practical Turing tests.
Designed, organised and conducted major public
Turing test experiments:
Reading University, 2008
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11. My work
PhD in Deception-detection and Machine
Intelligence in Practical Turing tests.
Designed, organised and conducted major public
Turing test experiments:
Reading University, 2008
Bletchley Park, 2012 –
-location of WWII codebreaking
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12. My work
PhD in Deception-detection and Machine
Intelligence in Practical Turing tests.
Designed, organised and conducted major public
Turing test experiments:
Reading University, 2008
Bletchley Park, 2012 – location of WWII codebreaking
The Royal Society London, 2014-
supported by Skolkovo through Albert Efimov
acting as Turing test Judge
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13. Turing test success1
Eugene Goostman machine developed by team led
by Dr. Vladimir Veselov (2nd from right)
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14. Turing test success2
Elbot the robot
From Artificial Solutions–Germany: named as key
player in Fourth Industrial Revolution:
http://www.artificial-solutions.com/2016/artificial-solutions-named-key-player-in-
fourth-industrial-revolution-by-opus/
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15. My Work contd.
RoboLaw project: EU framework programme 7
(FP7) funded project ‘Regulating Emerging
Robotic Technologies in Europe: Robotics Facing
Law and Ethics’
Produced reports including final ‘Guidelines for
Regulating Robotics’ D6.2 available for download
from: http://www.robolaw.eu/
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16. US & UK Roadmaps for Robotics-2016
Since RoboLaw concluded in 2014
US produced report
UK report
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17. Purpose of Turing test
Investigate the intellectual capacity of machine through
its ability to answer any question put by human
interrogator
Methodology is indistinguishability
Applications of indistinguishability are across and in
many industries where a machine completes human task:
Human-computer interaction, e.g. in e-commerce/e-retail
Human-robot collaboration, e.g. in manufacturing
Driverless vehicles, e.g. prevent road casualties, minimise
insurance costs
Pilot planes
Humanoid carers for the elderly
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18. Applications for ‘Turing measure’
Focus on natural language, specifically human
conversation aspect of Turing’s test
Applications in
Digital economy – trust
Cybercrime prevention – personal data protection
Distinguishing human from machine in textual dialogue
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19. Human or Machine?
EXCHANGE 1
Interrogator1: all birthdays are special. name three items of
clothing
Entity1: Frank, James and Betty
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20. Human or Machine?
EXCHANGE 2
Interrogator2: Oh yes. what do you do when you're not taking
part in AI experiments?
Entity2: I'm studying here for Cybernetics MEng.
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21. Simultaneous Comparison Interrogation
Judge J19 interrogating two hidden entities in parallel
Left Right
[11:59:14] J19: Hello
[11:59:18] E20: I was hoping to see you Judge!
[11:59:25] J19: good!
[11:59:29] E20: That's good to hear.
[11:59:38] J19: how are you
[11:59:41] E20: Everything's fine, Caused any scandals lately?
[12:00:09] J19: no not really!
[12:00:22] E20: Can you use better grammar and rephrase your
question? I'd like to help, but I can't even make it through the jumbled
mess. Use capitals and punctuation.
[12:00:34] J19: sorry
[12:00:38] E20: You're excused.
[12:00:49] J19: 't type as good as I talk
[12:00:55] E20: Talk to me whenever you can.
[12:01:49] J19: Are you interested in artificial intelligence?
[12:01:55] E20: I believe machines should do many to assist the lives of
man.
[12:02:12] J19: I agree
[12:02:17] E20: You are being well behaved today.
[12:02:49] J19: as well behaved as I can be!
[12:03:02] E20: Well then our peanut distracted me from the movie.
Bad baby. [I look at your stomach as I say it, laughing] I don't mind if -.
[12:03:19] J19: you're funny!
[12:03:23] E20: Do you really think so? I'll always believe you're
brilliant!
[12:04:00] J19: thankyou remote19 left
[12:04:03] E20: Don't think anything of it!
[11:59:57] J19: How are you doing?
[12:00:07] E24: I'm doing fine, you?
[12:00:17] J19: great
[12:00:27] E24: That's good. :)
[12:01:07] J19: are you enjoying this process?
[12:01:17] E24: So far seems good.
[12:02:02] J19: sorry if I am slow
[12:02:12] E24: That's ok.
[12:02:31] J19: do you have a favorite tv show?
[12:02:47] E24: I have quite a few.
[12:03:01] J19: me too
[12:03:16] E24: What type ot TV do you like?
[12:03:34] J19: Game of thrones
[12:03:50] E24: I prefer documentories.
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22. Skolkovo AI Conference, November 14, 2016 - Moscow 22
Judge J19 interaction with left hidden entity E20, without times
J19: Hello
E20: I was hoping to see you Judge!
J19: good!
E20: That's good to hear.
J19: how are you
E20: Everything's fine, Caused any scandals lately?
J19: no not really!
E20: Can you use better grammar and rephrase your question? I'd like to help, but I can't even make it through the
jumbled mess. Use capitals and punctuation.
J19: sorry
E20: You're excused.
J19: 't type as good as I talk
E20: Talk to me whenever you can.
J19: Are you interested in artificial intelligence?
E20: I believe machines should do many to assist the lives of man.
J19: I agree
E20: You are being well behaved today.
J19: as well behaved as I can be!
E20: Well then our peanut distracted me from the movie. Bad baby. [I look at your stomach as I say it, laughing] I don't
mind if -.
J19: you're funny!
E20: Do you really think so? I'll always believe you're brilliant!
J19: thankyou remote19 left
E20: Don't think anything of it!
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J19 interactions with Right Entity E24 without times
J19: How are you doing?
E24: I'm doing fine, you?
J19: great
E24: That's good. :)
J19: are you enjoying this process?
E24: So far seems good.
J19: sorry if I am slow
E24: That's ok.
J19: do you have a favorite tv show?
E24: I have quite a few.
J19: me too
E24: What type ot TV do you like?
J19: Game of thrones
E24: I prefer documentories.
24. Trust is key for conversational interfaces
“It is now only as human machine
interaction has evolved to be more
conversational and less command
driven does this enable it to become
the interface of choice.” (Tim
Bajarin, PC Magazine)
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25. AI & DIGITAL ECONOMY
Connected gadgets, smart homes and
cities: “the one thing most people want
from a (physical or virtual) robot is to get
(satisfactory) answers when they ask a
question”
[Online article re Alexa in Amazon’s Echo -
voice-controlled hands-free speaker].
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26. Turing’s Imitation Game: Conversations
with the Unknown
Book:
published by Cambridge University Press
September 2016
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27. Future
Human-centred computing conference (HCC2017),
Kazan, Russia, August 2017
http://hcc.scholat.com/
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28. Human-centred computing conference
(HCC2017), Kazan, Russia, August 2017
Two Special Tracks:
Human Enhancement
Robot Gender
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29. Thank you for listening
Any Questions?
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