Limits and Risks of Digital Transformation

Currently, the process of digital transformation is actively going on in the economy, science, education, and society as a whole. This process has a number of restrictions and risks we consider. The mathematical theory of complexity reveals a large class of the restrictions. The exact solution of a...

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Main Authors: T. S. Akhromeeva, G. G. Malinetskiy, S. A. Posashkov
Format: Article
Language:Russian
Published: Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center 2020-07-01
Series:Цифровая трансформация
Subjects:
Online Access:https://dt.bsuir.by/jour/article/view/515
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author T. S. Akhromeeva
G. G. Malinetskiy
S. A. Posashkov
author_facet T. S. Akhromeeva
G. G. Malinetskiy
S. A. Posashkov
author_sort T. S. Akhromeeva
collection DOAJ
description Currently, the process of digital transformation is actively going on in the economy, science, education, and society as a whole. This process has a number of restrictions and risks we consider. The mathematical theory of complexity reveals a large class of the restrictions. The exact solution of a number of simple-looking problems with a small amount of input data requires resources many times greater than the capabilities of all available computers.On the "border" between natural and artificial intelligence lies the "cognitive barrier". This, as a rule, makes it impossible to use the results of a number of artificial intelligence systems to adjust our strategies. We and computers "think" differently. They have to be considered as "black boxes". It is very likely that the tester of artificial intelligence systems will become one of the mass professions in the close future.We give examples to show that the "translation" from "continuous" to "discrete" language can lead to qualitatively different behavior of mathematical models. In a number of problems associated with a computational experiment this can be quite significant.Great risks arise when passing to the "fast world", approaching the "Lem's barrier". It happens when artificial intelligence systems are assigned strategically important tasks that they must solve at a speed inaccessible to humans.The analysis shows that managing the risks of digital transformation and its limitations requires the attention of the scientific and expert community, as well as active participants in this process.
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spelling doaj-art-73cc19d8adaa42b8ae919d9588e148022025-02-03T11:26:34ZrusMinistry of Education of the Republic of Belarus, Establishment The Main Information and Analytical CenterЦифровая трансформация2522-96132524-28222020-07-0102515710.38086/2522-9613-2020-2-51-57182Limits and Risks of Digital TransformationT. S. Akhromeeva0G. G. Malinetskiy1S. A. Posashkov2RAS Keldysh Institute of Applied MathematicsRAS Keldysh Institute of Applied MathematicsFinancial University under the Government of the Russian FederationCurrently, the process of digital transformation is actively going on in the economy, science, education, and society as a whole. This process has a number of restrictions and risks we consider. The mathematical theory of complexity reveals a large class of the restrictions. The exact solution of a number of simple-looking problems with a small amount of input data requires resources many times greater than the capabilities of all available computers.On the "border" between natural and artificial intelligence lies the "cognitive barrier". This, as a rule, makes it impossible to use the results of a number of artificial intelligence systems to adjust our strategies. We and computers "think" differently. They have to be considered as "black boxes". It is very likely that the tester of artificial intelligence systems will become one of the mass professions in the close future.We give examples to show that the "translation" from "continuous" to "discrete" language can lead to qualitatively different behavior of mathematical models. In a number of problems associated with a computational experiment this can be quite significant.Great risks arise when passing to the "fast world", approaching the "Lem's barrier". It happens when artificial intelligence systems are assigned strategically important tasks that they must solve at a speed inaccessible to humans.The analysis shows that managing the risks of digital transformation and its limitations requires the attention of the scientific and expert community, as well as active participants in this process.https://dt.bsuir.by/jour/article/view/515digital transformationrisks and limitationsturing testcomplexitycognitive barrierdiscrete and continuous realityartificial intelligencefast worldtester of systems with artificial intelligencelem's barrier
spellingShingle T. S. Akhromeeva
G. G. Malinetskiy
S. A. Posashkov
Limits and Risks of Digital Transformation
Цифровая трансформация
digital transformation
risks and limitations
turing test
complexity
cognitive barrier
discrete and continuous reality
artificial intelligence
fast world
tester of systems with artificial intelligence
lem's barrier
title Limits and Risks of Digital Transformation
title_full Limits and Risks of Digital Transformation
title_fullStr Limits and Risks of Digital Transformation
title_full_unstemmed Limits and Risks of Digital Transformation
title_short Limits and Risks of Digital Transformation
title_sort limits and risks of digital transformation
topic digital transformation
risks and limitations
turing test
complexity
cognitive barrier
discrete and continuous reality
artificial intelligence
fast world
tester of systems with artificial intelligence
lem's barrier
url https://dt.bsuir.by/jour/article/view/515
work_keys_str_mv AT tsakhromeeva limitsandrisksofdigitaltransformation
AT ggmalinetskiy limitsandrisksofdigitaltransformation
AT saposashkov limitsandrisksofdigitaltransformation