Development of Artificial Intelligence and Prospects for Its Application

Abstract

Aim. To analyze the concept of “artificial intelligence”, to justify the effectiveness of using artificial intelligence technologies.Tasks. To study the conceptual apparatus; to propose and justify the author’s definition of the “artificial intelligence” concept; to describe the technology of speech recognition using artificial intelligence.Methodology. The authors used such general scientific methods of cognition as comparison, deduction and induction, analysis, generalization and systematization.Results. Based on a comparative analysis of the existing conceptual apparatus, it is concluded that there is no single concept of “artificial intelligence”. Each author puts his own vision into it. In this regard, the author’s definition of the “artificial intelligence” concept is formulated. It is determined that an important area of applying artificial intelligence technologies in various fields of activity is speech recognition technology. It is shown that the first commercially successful speech recognition prototypes appeared already by the 1990s, and since the beginning of the 21st century. The great interest in “end-to-end” automatic speech recognition has become obvious. While traditional phonetic approaches have requested pronunciation, acoustic, and language model data, end-to-end models simultaneously consider all components of speech recognition, thereby facilitating the stages of self-learning and development. It is established that a significant increase in the” mental “ capabilities of computer technology and the development of new algorithms have led to new achievements in this direction. These advances are driven by the growing demand for speech recognition.Conclusions. According to the authors, artificial intelligence is a complex of computer programs that duplicate the functions of the human brain, opening up the possibility of informal learning based on big data processing, allowing to solve the problems of pattern recognition (text, image, speech) and the formation of management decisions. Currently, the active development of information and communication technologies and artificial intelligence concepts has led to a wide practical application of intelligent technologies, especially in control systems. The impact of these systems can be found in the work of mobile phones and expert systems, in forecasting and other areas. Among the obstacles to the development of this technology is the lack of accuracy in speech and voice recognition systems in the conditions of sound interference, which is always present in the external environment. However, the recent advances overcome this disadvantage.

Learning from artificial intelligence researchers about international business implications

“…The most significant recent contributions to AI and international business research are: Artificial Intelligence and International Business (Fornes & Altamira, 2023): It discusses how AI gradually enhances efficiency, cross‐cultural communication, and knowledge exchange in international businesses. It also highlights serious AI adoption problems and calls for trade regulation changes. Major obstacles and directions for the application of artificial intelligence in international business (Aminov et al, 2023): This article addresses regulatory, personnel, and technological impediments to worldwide AI implementation. It emphasizes “smart” personnel practices, adaptable business models, and automation to improve the worldwide operations of international businesses. The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions (Borges et al, 2021): This systematic literature study identifies four AI‐created value streams in international business: decision assistance, customer and staff engagement, automation, and new product development.…”