Abstract
The paper considers the analysis of the development of artificial intelligence systems. There were methods of analysis, comparison and deduction applied. Despite important achievements at the solution of some private tasks and big financing, the industry in general faces serious problems of development. Already in the nearest future the shortage of computing power will become serious restriction of deep machine learning. A review of literature showed that the commercialization of artificial intelligence and big data negatively affects the solution of fundamental problems in the industry development. The author shows that priorities of developers of systems of artificial intelligence are more and more displaced towards realization of simple consumer services while the solution of tasks, really important for all mankind, is not implemented. Dangers of misunderstanding by people of mechanisms of decisions development are revealed by intellectual computer systems. It is specified the signs allowing to assume possibility of global economic problems because of the developing pessimism of investors concerning prospects of the companies engaged in this field. The principal results of the study are recommended to specialists in the development of artificial intelligence systems as a part of a big data creation.
Highlights
The paper considers the analysis of the development of artificial intelligence systems
A review of literature showed that the commercialization of artificial intelligence and big data negatively affects the solution of fundamental problems in the industry development
The author shows that priorities of developers of systems of artificial intelligence are more and more displaced towards realization of simple consumer services while the solution of tasks, really important for all mankind, is not implemented
Summary
Шуремов Международный инновационный университет, Сочи, Россия https://orcid.org/0000-0002-2307-2336. А Н Н ОТА Ц И Я Статья посвящена анализу разработки систем искусственного интеллекта (СИИ). При проведении исследования применены методы анализа, сравнения, дедукции. Несмотря на важные достижения при решении некоторых частных задач и большое финансирование, отрасль в целом сталкивается с серьезными проблемами развития. Уже в ближайшее время ограничением глубокого машинного обучения станет нехватка вычислительных мощностей. Проведенный обзор литературных источников показал, что коммерциализация разработок искусственного интеллекта и больших данных негативно сказывается на решении фундаментальных проблем развития отрасли. Что приоритеты разработчиков СИИ все больше смещаются в сторону реализации простых потребительских сервисов, в то время как решение действительно важных для всего человечества задач не реализуется. Принципиальные результаты исследования рекомендованы специалистам по разработке СИИ в рамках создания больших данных.
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