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Towards a unified framework for developing ethical and practical Turing tests
Published in Springer London
2019
Volume: 34
   
Issue: 1
Pages: 145 - 152
Abstract
Since Turing proposed the first test of intelligence, several modifications have been proposed with the aim of making Turing’s proposal more realistic and applicable in the search for artificial intelligence. In the modern context, it turns out that some of these definitions of intelligence and the corresponding tests merely measure computational power. Furthermore, in the framework of the original Turing test, for a system to prove itself to be intelligent, a certain amount of deceit is implicitly required which can have serious security implications for future human societies. In this article, we propose a unified framework for developing intelligence tests which takes care of important ethical and practical issues. Our proposed framework has several important consequences. Firstly, it results in the suggestion that it is not possible to construct a single, context independent, intelligence test. Secondly, any measure of intelligence must have access to the process by which a problem is solved by the system under consideration and not merely the final solution. Finally, it requires an intelligent agent to be evolutionary in nature with the flexibility to explore new algorithms on its own. © 2017, Springer-Verlag London Ltd.
About the journal
JournalData powered by TypesetAI and Society
PublisherData powered by TypesetSpringer London
ISSN09515666
Open AccessNo
Concepts (12)
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    Artificial intelligence
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    Network security
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    Philosophical aspects
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    Computational power
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    CONTEXT INDEPENDENT
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    IMITATION GAMES
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    INTELLIGENCE TESTS
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    Practical issues
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    SECURITY IMPLICATIONS
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    TURING TESTS
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    Unified framework
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    Testing