Abstract

The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context. After all, the question of qualification for human beings to be considered intelligent does not have a definite answer. There is not even a common agreement on whether we can identify criteria for one (general or unified) intelligence or whether we should rather consider multiple intelligences. Thus, our discussion is focusing not on a complete definition of intelligence, but only on its necessary conditions, and not on computing artefacts, but on the process of computing in its Turing Machine model. Are there any features of computing which are in contradiction with the idea of intelligence? This is the reason why the title of this paper is formulated in a negative way, with the question of whether intelligent computing is an oxymoron.

Highlights

  • The 2019 Summit of International Society for the Study of Information, held 2–6 June 2019 atThe University of California at Berkeley, addressed a large variety of topics related to information and its multiple roles in the fundamental intellectual and technological controversies of the present time

  • It is not a surprise that the title of the summit, which was formulated as a question “Where is the I in AI and the meaning of Information?” referred to artificial intelligence

  • The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context

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Summary

Introduction

The 2019 Summit of International Society for the Study of Information, held 2–6 June 2019 at. No artificial system equipped exclusively with a computer (i.e., Turing Machine) can produce a sequence of random numbers in the strict sense of the term This is not an expression of belief or empirical statement, but a simple consequence of the definition of random numbers, i.e., numbers which cannot be produced by an algorithmic process shorter than the resulting sequence of numbers. This does not generate heated discussions, because humans are even worse in generating random numbers. Even in the absence of the complete definition of intelligence, but with some of its necessary conditions, if we find them to be in contradiction with the model of computing, we can claim that calling this type of computing intelligent is an oxymoron

Intelligence
Intelligent Computing
Information Integration
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