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Turing test: Proposal by A. M. Turing (Alan M. Turing In Computing machinery and intelligence (= 59). Mind (journal), 1950) to find out whether a machine has the ability to think. The machine has to answer questions, whereby a more or less high degree of everyday knowledge is required. See also Artificial intelligence, Strong artificial intelligence, Artificial consciousness.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.

 
Author Concept Summary/Quotes Sources

Daniel Dennett on Turing-Test - Dictionary of Arguments

Brockman I 46
Turing Test/DennettVsTuring/Dennett: Alan Turing himself suffered an entirely understandable failure of imagination in his formulation of the famous Turing Test. As everyone knows, it is an adaptation of his “imitation game,” in which a man, hidden from view and communicating verbally with a judge, tries to convince the judge that he is in fact a woman, while a woman, also hidden and communicating with the judge, tries to convince the judge that she is the woman.
What Turing did not foresee is the power of deep-learning AI to acquire this wealth of information in an exploitable form without having to understand it. Turing imagined an astute and imaginative (and hence conscious) agent who cunningly designed his responses based on his detailed “theory” of what women are likely to do and say. Top-down intelligent design, in short. He certainly didn’t think that a man, winning the imitation game, would somehow become a woman;(…).
>Machine learning, >Deep learning.
Brockman I 47
DennettVsTuring: What Turing didn’t foresee is the uncanny ability of superfast computers to sift mindlessly through Big Data, of which the Internet provides an inexhaustible supply, finding probabilistic patterns in human activity that could be used to pop “authentic”-seeming responses into the output for almost any probe a judge would think to offer.
Brockman I 48
(…) probably a better tactic for the judge to adopt when confronting a candidate in the Turing Test is not to search for such items but to create them anew. AI in its current manifestations is parasitic on human intelligence. It quite indiscriminately gorges on whatever has been produced by human creators and extracts the patterns to be found there—including some of our most pernicious habits.(1)
>Artificial Intelligence.

1. Aylin Caliskan-Islam, Joanna J. Bryson, and Arvind Narayanan, “Semantics Derived Auto
matically from Language Corpora Contain Human-Like Biases,” Science 356, no.6334 (April
14, 2017): 183—86, DOl: 1O.1126/science.aa14230.

Dennett, D. “What can we do?”, in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press.


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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.

Dennett I
D. Dennett
Darwin’s Dangerous Idea, New York 1995
German Edition:
Darwins gefährliches Erbe Hamburg 1997

Dennett II
D. Dennett
Kinds of Minds, New York 1996
German Edition:
Spielarten des Geistes Gütersloh 1999

Dennett III
Daniel Dennett
"COG: Steps towards consciousness in robots"
In
Bewusstein, Thomas Metzinger, Paderborn/München/Wien/Zürich 1996

Dennett IV
Daniel Dennett
"Animal Consciousness. What Matters and Why?", in: D. C. Dennett, Brainchildren. Essays on Designing Minds, Cambridge/MA 1998, pp. 337-350
In
Der Geist der Tiere, D Perler/M. Wild, Frankfurt/M. 2005

Brockman I
John Brockman
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019


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Ed. Martin Schulz, access date 2024-04-19
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