MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT

The article explores the philosophical aspect of the basic approaches to the creation of selfdetermining machine intelligence. The problem of understanding machine intelligence appears for modern philosophy as a complex and multidimensional task. One of the most controversial issues in this context...

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Main Author: Vitaliy Ye. Karpenko
Format: Article
Language:English
Published: V.N. Karazin Kharkiv National University Publishing 2018-06-01
Series:Вісник Харківського національного університету імені В.Н. Каразіна. Серія Філософія, філософські перипетії
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Online Access:https://periodicals.karazin.ua/philosophy/article/view/11407/10943
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spelling doaj-5fe5924ee9c8404ca8353f78a66a25ab2020-12-02T13:14:53ZengV.N. Karazin Kharkiv National University PublishingВісник Харківського національного університету імені В.Н. Каразіна. Серія Філософія, філософські перипетії2226-09942414-59042018-06-0158293610.26565/2226-0994-2018-58-3MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECTVitaliy Ye. Karpenko0National Technical University “Kharkiv Polytechnic Institute”The article explores the philosophical aspect of the basic approaches to the creation of selfdetermining machine intelligence. The problem of understanding machine intelligence appears for modern philosophy as a complex and multidimensional task. One of the most controversial issues in this context is hypothetical future of self-determining machine intelligence. Very topical at the same time are various transhumanist ideas. These ideas express concern for a certain good, although in their specific understanding. It refers to the benefit for both the modern man and those who are considered as other forms of human being (transhumans, posthumans, etc.). In the course of mutual enrichment of concepts that denote different directions of computerization and transhumanism, something qualitatively new arises: the concept of self-determining machine intelligence in its modern form. However, a complete description and an adequate understanding of this type of intelligence is a super complicated task. In this case, it is required to create a common “metamodel”, which “promises” the achievement of the goal (ie, successful modeling). Such a “metamodel” should consistently generate relevant research problems for more specific studies. But at a certain stage it can turn out to be one of those “paradigms” that, as T. S. Kuhn wrote, stopped generating research problems and instead turned into the “tools” of engineering disciplines. Therefore, it should be noted that denying the importance of responding to possible threats at the level of a common “metamodel” can provide a precedent for non-response for any other “less hypothetical” danger. An adequate methodological principle for solving this problem is the precautionary principle. According to this principle, the scientific community and society must move towards one common goal. This means that it is necessary to eliminate fears of society about the dangerous prospects of scientific and technological growth, popularize scientific knowledge, overcome myths that non-specialists associate with science. It is necessary to create reserves to answer the permissible, and not only confidently predicted threats. These reserves are created not only in the course of scientific research, but also through the humanization of science and society, the humanization of the human mentality itself. Only on this basis the ability of society to respond adequately to crisis situations can be made.https://periodicals.karazin.ua/philosophy/article/view/11407/10943self-determining machine intelligenceartificial intelligenceprecautionary principledehumanization
collection DOAJ
language English
format Article
sources DOAJ
author Vitaliy Ye. Karpenko
spellingShingle Vitaliy Ye. Karpenko
MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Філософія, філософські перипетії
self-determining machine intelligence
artificial intelligence
precautionary principle
dehumanization
author_facet Vitaliy Ye. Karpenko
author_sort Vitaliy Ye. Karpenko
title MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT
title_short MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT
title_full MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT
title_fullStr MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT
title_full_unstemmed MODERN APPROACHES TO THE CREATION OF SELF-DETERMINING MACHINE INTELLIGENCE: THE PHILOSOPHICAL ASPECT
title_sort modern approaches to the creation of self-determining machine intelligence: the philosophical aspect
publisher V.N. Karazin Kharkiv National University Publishing
series Вісник Харківського національного університету імені В.Н. Каразіна. Серія Філософія, філософські перипетії
issn 2226-0994
2414-5904
publishDate 2018-06-01
description The article explores the philosophical aspect of the basic approaches to the creation of selfdetermining machine intelligence. The problem of understanding machine intelligence appears for modern philosophy as a complex and multidimensional task. One of the most controversial issues in this context is hypothetical future of self-determining machine intelligence. Very topical at the same time are various transhumanist ideas. These ideas express concern for a certain good, although in their specific understanding. It refers to the benefit for both the modern man and those who are considered as other forms of human being (transhumans, posthumans, etc.). In the course of mutual enrichment of concepts that denote different directions of computerization and transhumanism, something qualitatively new arises: the concept of self-determining machine intelligence in its modern form. However, a complete description and an adequate understanding of this type of intelligence is a super complicated task. In this case, it is required to create a common “metamodel”, which “promises” the achievement of the goal (ie, successful modeling). Such a “metamodel” should consistently generate relevant research problems for more specific studies. But at a certain stage it can turn out to be one of those “paradigms” that, as T. S. Kuhn wrote, stopped generating research problems and instead turned into the “tools” of engineering disciplines. Therefore, it should be noted that denying the importance of responding to possible threats at the level of a common “metamodel” can provide a precedent for non-response for any other “less hypothetical” danger. An adequate methodological principle for solving this problem is the precautionary principle. According to this principle, the scientific community and society must move towards one common goal. This means that it is necessary to eliminate fears of society about the dangerous prospects of scientific and technological growth, popularize scientific knowledge, overcome myths that non-specialists associate with science. It is necessary to create reserves to answer the permissible, and not only confidently predicted threats. These reserves are created not only in the course of scientific research, but also through the humanization of science and society, the humanization of the human mentality itself. Only on this basis the ability of society to respond adequately to crisis situations can be made.
topic self-determining machine intelligence
artificial intelligence
precautionary principle
dehumanization
url https://periodicals.karazin.ua/philosophy/article/view/11407/10943
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