Siri Fails the Turing Test: Computation, Biosemiosis, and Artificial Life

2019 ◽  
Vol 39 (1-2) ◽  
pp. 231
Author(s):  
Victoria N. Alexander
Keyword(s):  
Artificial Life ◽  
Turing Test ◽  
Test Computation

TESTING THE TURING TEST — DO MEN PASS IT?

2004 ◽  
Vol 15 (08) ◽  
pp. 1041-1047
Author(s):  
RUTH ADAM ◽  
URI HERSHBERG ◽  
YAACOV SCHUL ◽  
SORIN SOLOMON
Keyword(s):  
Artificial Intelligence ◽  
Human Behavior ◽  
Artificial Life ◽  
Turing Test ◽  
Imitation Game ◽  
Scientific Approach

We are fascinated by the idea of giving life to the inanimate. The fields of Artificial Life and Artificial Intelligence (AI) attempt to use a scientific approach to pursue this desire. The first steps on this approach hark back to Turing and his suggestion of an imitation game as an alternative answer to the question "can machines think?".1To test his hypothesis, Turing formulated the Turing test1to detect human behavior in computers. But how do humans pass such a test? What would you say if you would learn that they do not pass it well? What would it mean for our understanding of human behavior? What would it mean for our design of tests of the success of artificial life? We report below an experiment in which men consistently failed the Turing test.

Zombies and Dolls

2018 ◽  
Author(s):  
Marcello Massimini ◽  
Giulio Tononi
Keyword(s):  
Body Problem ◽  
Thought Experiments ◽  
Turing Test ◽  
Hard Problem ◽  
Mind Body Problem ◽  
The Hard Problem ◽  
The Mind ◽  
The Brain

This chapter uses thought experiments and practical examples to introduce, in a very accessible way, the hard problem of consciousness. Soon, machines may behave like us to pass the Turing test and scientists may succeed in copying and simulating the inner workings of the brain. Will all this take us any closer to solving the mysteries of consciousness? The reader is taken to meet different kind of zombies, the philosophical, the digital, and the inner ones, to understand why many, scientists and philosophers alike, doubt that the mind–body problem will ever be solved.

scholarly journals More human than human: a Turing test for photographed faces

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Jet Gabrielle Sanders ◽  
Yoshiyuki Ueda ◽  
Sakiko Yoshikawa ◽  
Rob Jenkins
Keyword(s):  
Social Context ◽  
Personal Identity ◽  
Error Rate ◽  
Turing Test ◽  
Perceptual Task ◽  
Viewing Time ◽  
Facial Appearance ◽  
Theoretical Interest ◽  
Significant Performance ◽  
Recent Experimental Work

Abstract Background Recent experimental work has shown that hyper-realistic face masks can pass for real faces during live viewing. However, live viewing embeds the perceptual task (mask detection) in a powerful social context that may influence respondents’ behaviour. To remove this social context, we assessed viewers’ ability to distinguish photos of hyper-realistic masks from photos of real faces in a computerised two-alternative forced choice (2AFC) procedure. Results In experiment 1 (N = 120), we observed an error rate of 33% when viewing time was restricted to 500 ms. In experiment 2 (N = 120), we observed an error rate of 20% when viewing time was unlimited. In both experiments we saw a significant performance cost for other-race comparisons relative to own-race comparisons. Conclusions We conclude that viewers could not reliably distinguish hyper-realistic face masks from real faces in photographic presentations. As well as its theoretical interest, failure to detect synthetic faces has important implications for security and crime prevention, which often rely on facial appearance and personal identity being related.

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