Concept Of Intelligence Research Articles

The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification

Machine learning (ML) revolutionized traditional machine fault detection and identification (FDI), as complex-structured models with well-designed unsupervised learning strategies can detect abnormal patterns from abundant data, which significantly reduces the total cost of ownership. However, their opaqueness raised human concern and intrigued the eXplainable artificial intelligence (XAI) concept. Furthermore, the development of ML-based FDI models can be improved fundamentally with machine learning operations (MLOps) guidelines, enhancing reproducibility and operational quality. This study proposes a framework for the continuous development of ML-based FDI solutions, which contains a general structure to simultaneously visualize and check the performance of the ML model while directing the resource-efficient development process. A use case is conducted on sensor data of a hydraulic system with a simple long short-term memory (LSTM) network. Proposed XAI principles and tools supported the model engineering and monitoring, while additional system optimization can be made regarding input data preparation, feature selection, and model usage. Suggested MLOps principles help developers create a minimum viable solution and involve it in a continuous improvement loop. The promising result motivates further adoption of XAI and MLOps while endorsing the generalization of modern ML-based FDI applications with the HITL concept.

EDUCATIONAL MANAGEMENT ASPECTS OF THE SOMATIC INTELLIGENCE

Somatic intelligence is a type of human intelligence that includes self-regulation, emotional awareness, and listening to the body. Analyzing the scientific literature, it becomes clear that there are few theoretical works and empirical studies of somatic intelligence in Lithuania, but this does not mean the absence of discourse. Recently, the concept of somatic intelligence has been actively explored in the foreign scientific field using concepts such as somatic awareness, body awareness or interoceptive awareness; creating different models that enable detailing and structuring the concept of somatic intelligence; when constructing assessment systems (questionnaires). The concept of somatic intelligence, from a theoretical point of view, is a new and rarely studied phenomenon that requires in-depth research on a global and (especially) Lithuanian scale. Analyzing the research field of somatic intelligence, it was found that somatic intelligence is of interest to many researchers in various aspects related to the topic of kinesthetics: concept development and modelling, evaluation, education and management processes. The aim of the research – to reveal the features of kinestethic and sensory cognitive processes as the somatic intelligence parts in the educational management. The method of empirical research of the work is qualitative, which is based on phenomenological methodology. The qualitative research method (instrument) is a semi-structured individual interview. For the qualitative research, questions were prepared based on the model of somatic intelligence. The research results showed that, the somatic intelligence of primary school students in Klaipėda city formal education institutions is developed in a rather complex way. Methods and means of developing sensory intelligence include: creating a positive atmosphere, creating a sense of trust and security; the use of educational senses to create knowledge, cultural and environmental knowledge, training of critical thinking; involvement of students' and teacher's feelings, use of feelings for the development of critical thinking. Kinesthetic intelligence training methods include: training of fine and gross motor skills; methods and tools promoting discipline, methods and tools for overcoming stress and solving problems; physical involvement through role playing and other games. Research results related to other aspects of somatic intelligence (emotional and spiritual intelligence) will be presented in next article.

EMOTIONAL INTELLIGENCE: THE KEY TO SUCCESS IN PROFESSIONAL ACTIVITIES

At the current stage of societal development, the demands placed on the education system, the quality of professional training, and the formation of essential professional characteristics are on the rise. These foundationsare predominantly established during university-level training. An individual's social success is undoubtedly linked to their knowledge, skills, erudition, and overall ability to think -collectively referred to as general intelligence. However, often possessing a high level of general intelligence alone is insufficient. The concept of emotional intelligence emerged as a response to the evolving understanding of general intelligence in social contexts. It became evident that there could be a significant gap between a person's general intelligence and their social success, particularly in university environments. Consequently, emotional intelligence has been recognized as a crucial factor influencing the effectiveness of future professionals, as it promotesa humanistic approach to personal development and training, facilitates self-acceptance, and supports the personal maturity of upcoming professionals.The authors advocate for the necessity of nurturing emotional intelligence among students to effectivelyaddress professional challenges. Within contemporary educational contexts, fostering social success among future educators has become a critical objective, especially given the evolving demands of the teaching profession and the increasing socio-cultural dynamism. A teacher's social success extends beyond merely possessing professional skills and knowledge; it encompasses a comprehensive set of competencies that enable effective interaction with students, colleagues, parents, and society at large.

The Impact of Artificial Intelligence in the Educational Field

Recently, the concept of Artificial Intelligence has caused concern not only in the scientific community but also in the media sphere, primarily due to the lack of a universally agreed-upon definition. There is a lack of consensus among people regarding a comprehensive definition of intelligence, and even more so regarding artificial intelligence. Given these circumstances, the growing prevalence of the notion of Intelligence Artificial intelligence has advanced to the extent that it is now a vital element in nearly every sector of today's contemporary economy, exerting a substantial influence on our personal, societal, and political spheres. The foundation of this idea is based on the premise that human intelligence can be precisely described, allowing for the creation of a machine capable of simulating it. This gives rise to philosophical debates concerning the nature of consciousness and the moral implications of developing synthetic entities possessing human-like cognitive abilities. Artificial intelligence presents a myriad of challenges related to comprehension, responsibility, and confidence. Keywords: artificial intelligence, development, technology, education

OPPORTUNITIES FOR THE FORMATION OF INTELLECTUAL SKILLS OF PRESCHOOL CHILDREN THROUGH DEVELOPMENTAL GAMES

In this article, the theories of the formation of intellectual skills of preschool children are substantiated and presented from a practical point of view through the results of practice. In the preschool period, they revealed the possibilities of developing intellectual skills of the child through developing games. The concept of intelligence and intelligence is currently in widespread use and is becoming one of the most relevant topics. In accordance with the period of technological rapid development and globalization of our time, in accordance with demographic growth, new changes are observed in our society. In this regard, the types of skills and abilities that should be present in the younger generation are increasing. In the upbringing and training of preschool children, the focus is on the problem of educating a competitive generation through the development of the child`s physical, communicative, cognitive, intellectual, creative skills, research abilities. In the period from four to five years, the child experiences an important stage, perception and desire to learn the new, the author notes the scientifically sustained theories, the features of the experimental research are analyzed quantitatively and qualitively. The article presented a list of developmental games as effective tools for the development of intellectual skills of children of the adult group. It is written on the basis of the state program for the development of educational system Republic of Kazakhstan and the concept, and for the correct organization of intellectual skills, it is necessary To know the laws and possibilities of physiological development in a child. As noted in the article, the analysis of the content and methods of sensory education scientifically substantiated the development of perception and institution, the sequence of formation of logical thinking, revealed the psychological and pedagogical features of developing games in the formation of intellectual skills of children of preschool age group.

Data is the fuel of generative artificial intelligence

TThe aim of the article is to present the generative technology of artificial intelligence and a general analysis of its achievements and technological limitations. In turn, the hypothesis is as follows: data is the main factor ensuring the development of generative AI. The identified research niche includes stimulants of this development, the need to clarify the concept of generative AI and the indication of the most frequently used sources and methods of obtaining data. At the beginning, the concept and genesis of artificial intelligence were explained, which was necessary to move on to further considerations regarding the analyzed generative artificial intelligence. The self-learning mechanisms used by this type of artificial intelligence are discussed, consisting mainly in the analysis of specific data sets, thanks to which computers learn things that have not been known before. The advantages of generative artificial intelligence were also indicated, including increased productivity, greater efficiency and high creativity. Part of the attention was also paid to the limitations of this technology, including inaccurate and fuzzy output information, uncritical analyzes and often biased conclusions, copyright infringement and high requirements for memory and computing power of computers. Two factors have been identified that have recently stimulated the development of generative intelligence, i.e. the growing computing power of computers and easy access to large data sets. The main subject of considerations are large data sets, dynamically and uncontrollably self-replicating in Internet servers. Today, data resources are collected very efficiently, including: in Big Data, Cloud Computing and Internet of Things technologies, and their use is almost cost-free and publicly available. It was enough to improve the technology of artificial neural networks, expand multi-layer machine learning and create deep learning for generative intelligence to gain enormous momentum and become a symbol of the beginning of the 21st century. The whole investigation was summarized with a synthetic ending.

The Evolution of Artificial Intelligence: From Assistance to Super Mind of Artificial General Intelligence? Article 2. Artificial Intelligence: Terra Incognita or Controlled Force?

The article is devoted to the history of the development of ICT and AI, their current and expected future achievements, and the problems (which have already arisen but will become even more acute in the future) associated with the development of these technologies and their widespread application in society. It shows the close connection between the development of AI and cognitive science, the penetration of ICT and AI into various spheres, particularly health care, and the very intimate areas related to the creation of digital copies of the deceased and posthumous contact with them. A significant part of the article is devoted to the analysis of the concept of ‘artificial intelligence’, including the definition of generative AI. The authors analyse recent achievements in the field of Artificial Intelligence. There are given descriptions of the basic models, in particular the Large Linguistic Models (LLM), and forecasts of the development of AI and the dangers that await us in the coming decades. The authors identify the forces behind the aspiration to create AI, which is increasingly approaching the capabilities of the so-called general/universal AI, and also suggest desirable measures to limit and channel the development of artificial intelligence. It is emphasized that the threats and dangers of the development of ICT and AI are particularly aggravated by the monopolization of their development by the state, intelligence services, major corporations and those often referred to as globalists. The article provides forecasts of the development of computers, ICT and AI in the coming decades, and also shows the changes in society that will be associated with them. The study consists of two articles. The first, published in the previous is-sue of the journal, has provided a brief historical overview and characterized the current situation in the field of ICT and AI. It has also analyzed the concepts of artificial intelligence, including generative AI, changes in the understanding of AI related to the emergence of the so-called large language models and related new types of AI programs (ChatGPT and similar models). The article has discussed the serious problems and dangers associated with the rapid and uncontrolled development of artificial intelligence. This second article describes and comments on the current assessments of breakthroughs in the field of AI, analyzes various predictions, and provides the authors' own assessments and predictions of future developments. Particular attention is paid to the problems and dangers associated with the rapid and uncontrolled development of AI, with the fact that advances in this field become a powerful means of control over the population, imposing ideologies, priorities and lifestyles, influencing the results of elections, and a tool to undermine security and geopolitical struggles.

Business intelligence and its role in raising the level of corporate services

Artificial intelligence has begun to show itself in all areas of the changing business world. With the introduction of new technologies in the digital age, business structures have to adapt to new projects and increase the productivity of business processes. The purpose of the study is to clarify the ways of using business intelligence tools to raise and increase the level of services within companies. As a result of the stated objective, we identified the following tasks: 1) to determine the role of business analytics in forming the company's development strategy; 2) to propose solutions for improving internal company services using business analytics tools; 3) to outline the framework for building business analytics (BI) within the company. This study presents the concept of business intelligence and its importance in raising the level of service delivery in companies. For this purpose, Deming's course was used, were to find and provide some solutions, represented in the final decision-making process regarding the process of improving and providing services to companies. In other words, helping the general manager to see what is hidden from the eye, depending on the data and methods of processing it. In addition to the above, the stages involved in the development process were shown in the form of a data flow diagram, which is known as the Data Flow Diagram (DFD) for the system used within the company. The results of this study are summarized as follows: а) this study presents a clear and simplified concept for solving all the tasks mentioned in this study; b) submitting a proposal to solve the problem of improving services within the company by using business intelligence tools; c) this study presents a data flow diagram that selects the appropriate agile process for that purpose; d) this study presented a partial development of the system in force in the company.

Path Analysis of Factors Influencing Multiple Intelligences of Malaysian Medical Students: A Multi-institutional Study

The Multiple Intelligences (MI) Theory by Howard Gardner emphasises that individuals have a unique blend of “capabilities” (“intelligences”), differing significantly from the traditional concept of intelligence measured by conventional intelligence quotient (IQ) tests. This cross-sectional, multiinstitutional study aimed to compare the MI of medical students from three Malaysian medical schools, investigate the effects of demographic factors on the MI of students with diverse cultural and socio-economic backgrounds, and examine the effects of MI on academic performance. The MI Inventory was used to assess the MI of medical students. Path analysis was carried out using the SmartPLS software version 2.0. Inter-institutional differences in MI were observed among the students. University A students (53.51 ± 21.99) scored significantly higher than University B students (46.70 ± 20.34) in the naturalist domain (p = 0.05). University A students also scored significantly higher (58.35 ± 21.30) than University B (50.26 ± 19.49; p = 0.014) and University C students (46.90 ± 21.58; p = 0.008) in the musical/rhythmic domain. In the verbal/linguistic domain, University A students (47.94 ± 21.06) scored significantly higher than University C students (39.05 ± 19.23; p = 0.05). Path analysis highlighted a statistically significant effect of family income on the musical intelligence (β = 0.220, t = 2.005, p < 0.05), a domain closely related to verbal/linguistic intelligence. Students from all three medical schools consistently achieved the lowest score in the verbal/linguistic domain and the highest score in the intrapersonal intelligence domain. These findings suggest the need for interventions to enhance language proficiency among medical students. Emphasising MI would make medical education more comprehensive, ultimately enhancing learning in their academic pursuit.

THE VALUE ORIENTATIONS OF ADOLESCENTS WITH DIFFERENT LEVELS OF EMOTIONAL INTELLIGENCE

This article presents general characteristics of the concepts of emotional intelligence and value orientations from the perspective of several authors. There are presented some theoretical approaches with reference to the components of emotional intelligence and the types of value orientations. Moreover, in this paper some sequences of the research carried out on the subject of emotional intelligence and value orientations in adolescents are described. They directly relate to the hierarchies of terminal and instrumental value orientations of adolescents with different levels of emotional intelligence development: high level and low level. At a comparative level, priority values and values rejected by teenagers are presented, which denote different levels of emotional intelligence. The obtained results demonstrate that the value hierarchies in the experimental subjects are not identical. We emphasize that the research sample consists of 341 teenagers from the Republic of Moldova.

Breastfeeding Self-Efficacy in Mothers: The Body Image and Emotional Intelligence Perspective

BackgroundBreastfeeding is a dynamic and complex process. Due to its complex nature, many reasons affect one another. Recent studies have focused on breastfeeding rates and factors that affect the early termination of breastfeeding. However, studies evaluating the relationship of body image and emotional intelligence concepts with breastfeeding self-efficacy have remained limited to date, resulting in a significant gap in the literature. AimThe present study was carried out to determine the relationship between breastfeeding self-efficacy, body image, and emotional intelligence of postpartum mothers. MethodsThe descriptive and cross-sectional study was conducted with 400 mothers. The data were collected using the Descriptive Information Form, the Body Image Scale (BIS), Schutte Emotional Intelligence Scale (SEIS), and the Breastfeeding Self-Efficacy Scale (BSES). The data were evaluated with the SPSS program, using percentages, mean values, independent t-test,One-Way ANOVA, and Pearson's correlation and regression. ResultsThe mothers’ mean age was 29.99±5.46 years. The mean total scores that mothers obtained from the scales were found to be 123.47±23.45 for the BIS, 144.46±13.11 for the SEIS, 51.81±9.46 for the BSES-SF. In the correlation analysis results, there was no correlation between the BSES-SF and SEIS. A statistically significant positive correlation was determined between the BIS and BSES-SF. Considering the regression analysis, it is seen that 7.4% of the change in mothers’ breastfeeding self-efficacy is explained by body image (R^2 = 0.074) ConclusionThe study found that positive body image increases breastfeeding self-efficacy. There is a need for additional longitudinal research examining the body image and emotional intelligence perspective of breastfeeding self-efficacy.

Preservice teachers’ behavioural intention to use artificial intelligence in lesson planning: A dual-staged PLS-SEM-ANN approach

In the ever-changing landscape of education, the integration of technology has become an inevitable force that reshapes the foundations of teaching and learning. Amidst this transformative wave, the concept of Artificial Intelligence (AI) has taken center stage, promising innovative approaches, and increased efficiency. Within this context, the exploration of preservice teachers' behavioural intention to employ AI in lesson planning has emerged as a critical issue for examination. This study used a descriptive cross-sectional survey design and employed a purposive sampling technique to recruit 783 preservice teachers. By employing a cutting-edge dual-staged partial least squares structural equation modelling-artificial neural network (PLS-SEM-ANN) approach, this study investigated the influence of the following essential variables on preservice teachers' intentions to incorporate AI into their lesson planning endeavours: performance expectancy, effort expectancy, habit, hedonic motivation, social influence, and facilitating conditions. Social influence emerged as the most significant positive predictor of preservice teachers' behavioural intention to use AI in lesson planning. Additionally, habit, performance expectancy, effort expectancy, and facilitating conditions substantially positively influenced preservice teachers' behavioural intention to use AI in lesson planning. Conversely, hedonic motivation did not significantly affect preservice teachers’ behavioural intention to use AI in lesson planning. This study not only enhances our understanding of technology integration in pedagogy from a theoretical standpoint but also provides practical recommendations for refining educational curricula and instructional strategies that promote effective AI integration.

Determining the Metaphorical Perceptions of German Teacher Candidates Regarding the Concept of Artificial Intelligence

Abstract Considering the importance of individualised learning, artificial intelligence tools can effectively create an environment where students can learn by using them both in lessons and on their own, and enable students to learn a foreign language more effectively and permanently. The aim of this study is to examine the thinking worlds and thought patterns of prospective German teachers about the role of artificial intelligence in language teaching and learning and their views on the concept of artificial intelligence. The starting point of this study is the question of which metaphors prospective teachers use when talking about the concept of artificial intelligence. The questions of the study are as follows: 1. with which metaphors do pre-service German teachers express artificial intelligence? 2. How do pre-service German teachers define their metaphors related to the concept of artificial intelligence? 3. Under which conceptual categories are these metaphors categorised in terms of common characteristics? The participants of the study consisted of 1st, 2nd, 3rd and 4th year prospective teachers studying at the Department of German Language Teaching, Faculty of Education, Faculty of Foreign Languages Education, Trakya University. The data were collected by qualitative data analysis method. Firstly, Student Information Form was given to the students and what is metaphor was explained by giving examples of metaphor. Then, the students filled out an opinion form consisting of semi-structured questions. This form consists of two parts, in which short demographic information about the students is asked and the open-ended question ‘artificial intelligence is like ...., because...’ is asked. Metaphor analysis technique was used to analyse the data. The data obtained were interpreted by categorising the metaphors used by the prospective German teachers.

Mitigation of Occupational Stress through Spirituality: A Review Based on Case Study

Occupational stress is a result of high intensity threat or challenge caused by any stressor including poor communication between employee and management, continuous and sudden change, unsympathetic organizational culture, bullying and harassment, biased promotions, no job security, family-work conflict, relentless demands and toxic work environment. Several researches concluded that workplace spirituality has a significant impact on work attitudes like organizational performance, job involvement, job commitment, and job satisfaction as a whole. The main objective of the current study is to understand the concept of spiritual intelligence, identify the need of Spirituality in workplace and examine the impact of spiritual intelligence on occupational stress based on a case study. The results of the case study support the proposed hypothesis that workplace spirituality buffers or moderates the effect of stress on health. The findings of the case study indicate that stress has a negative relationship with health. When employees have a high level of stress, they exhibit more symptoms of poor health, and vice versa. Workplace spirituality does help to decrease the perception of workplace stressors, and thus contributes to a sense of well-being.

Advanced Micro/Nanocapsules for Self-Healing Coatings

The concept of intelligence has many applications, such as in coatings and cyber security. Smart coatings have the ability to sense and/or respond to external stimuli and generally interact with their environment. Self-healing coatings represent a significant advance in improving material durability and performance using microcapsules and nanocontainers loaded with self-healing agents, catalysts, corrosion inhibitors, and water-repellents. These smart coatings can repair damage on their own and restore mechanical properties without external intervention and are inspired by biological systems. Properties that are affected by either momentary or continuous external stimuli in smart coatings include corrosion, fouling, fungal, self-healing, piezoelectric, and microbiological properties. These coating properties can be obtained via combinations of either organic or inorganic polymer phases, additives, and pigments. In this article, a review of the advancements in micro/nanocapsules for self-healing coatings is reported from the aspect of extrinsic self-healing ability. The concept of extrinsic self-healing coatings is based on the use of capsules or multichannel vascular systems loaded with healing agents/inhibitors. The result is that self-healing coatings exhibit improved properties compared to traditional coatings. Self-healing anticorrosive coating not only enhances passive barrier function but also realizes active defense. As a result, there is a significant improvement in the service life and overall performance of the coating. Future research should be devoted to refining self-healing mechanisms and developing cost-effective solutions for a wide range of industrial applications.

COLLECTIVE INTELLIGENCE PHENOMENON STUDY AS A PRIORITY FOR ENSURING INNOVATIVE DEVELOPMENT OF ENTERPRISES

Objective. The purpose of the article is a critical analysis of the main approaches to collective intelligence as a priority for ensuring the innovative development of enterprises and the proposals development in the context of its effective use. Methodology. The development of a theoretical and methodological approach to the study of collective intelligence should be based on the business structures practical activity, the theory of collective intelligence phenomenon of individuals and their development in innovative activities; theories of organizational and competitive advantages; motivation, creativity and innovation. General and special methods are used: dialectical cognition; deductions and inductions; generalization and scientific abstraction; synergies; morphological analysis; competence, dialectical and synergistic approaches. Results. A scientific position has been created regarding the collective intelligence effective use as a priority for ensuring the innovative development of enterprises. An analysis of collective intelligence status essence and subject, the causes, mechanisms and consequences of its formation was carried out. It is shown that in contrast to the technocratic approach, which mixes collective intelligence with concepts of artificial intelligence, neural networks, big data, etc., it can be understood from a humanistic perspective as an integral set of human consciousnesses. A new understanding of the essence of the category “collective intelligence” is proposed. The issue of collective intelligence integration with computer systems and technologies framing is considered. The author emphasizes people-centeredness, which plays an important role in the intellectual and innovative activity of economic entities. The scientific novelty. The methodological foundation of collective intelligence nature is developed. The conceptual approach to the application of collective intelligence in order to ensure the innovative development of enterprises is substantiated. Measures for the development of collective intelligence are proposed, which gives the research practical value. Practical significance of the obtained results. The results of theoretical developments and practical recommendations of the author can be used to ensure the innovative development of enterprises due to the development of enterprises collective intelligence and their network associations.

Отношението към времето като културна норма

The attitude toward time is seen as a cultural norm that is essential for the harmonization of intercultural communications. A philosophical-anthropological study of the perception of time is provided here. Different types of time are considered. The constructs of time perspective and cultural intelligence are introduced. It is being discussed whether "slow" is a Bulgarian cultural norm, i.e., whether "Despacito" is the national anthem of Bulgaria, according to the Siri app - the errors propagated by the computer programs going around the world should be refuted. As a way to achieve this, in the article, a systematic philosophical and analytical review of the concepts of relation to time is presented. Specifics related to the concepts of mental models, cultural intelligence, and cultural clusters are proposed. They can be helpful in understanding cultural differences and communicating more effectively.

Plant "intelligence" and the misuse of historical sources as evidence.

Proponents of the concepts of plant intelligence and plant neurobiology often use historical sources as "evidence" and argue that eminent past scientists have supported ideas of plant intelligence, memory, learning, decision-making, agency, and consciousness. Historical sources include writings by Charles Darwin, Julius von Sachs, F. W. Went, K. V. Thimann, Barbara McClintock, and J. B. Lamarck. Advocates of plant neurobiology also argue that the ideas of J. C. Bose, an Indian scientist who is considered an important forerunner of plant neurobiology, were suppressed chiefly because of racism. Plant neurobiology has been criticized on scientific grounds, but there has not been close scrutiny of the use of historical sources as a form of evidence. We provide the first in-depth analysis of how historical sources have been used and misused, and conclude that there is a consistent pattern of distortion of these sources. Distortions include the use of erroneous quotations, alteration of quotations, selective quotations without context, and misinterpretation and exaggeration of historical statements. In the case of Bose, we show that there were legitimate scientific reasons for questioning his interpretations of botanical experiments and argue that this context cannot be ignored in evaluating contemporary responses to Bose. Overall, the common practice by proponents of plant intelligence and plant consciousness of uncritically citing the words of eminent scientists of the past, taken out of their historical context to bolster their arguments, should not be confused with scientific evidence supporting these concepts, even when the quotations, themselves, are accurate.

أثر استخدام تقنيات الذكاء الاصطناعي في تحسين جودة إدارة المشروعات

In recent years, artificial intelligence techniques have emerged in business administration and project management. The study aims to explore the uses of artificial intelligence in various types of projects, and analyze their impact on the quality of performance. The study presents the concepts of artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. It also includes a detailed analysis of artificial intelligence applications in many types of projects, such as manufacturing projects, supply chain management, software development, and digital marketing...etc. The study focuses on how to use these technologies to improve the quality of project management performance. It relied on studying practical cases and analyzing data extracted from surveys and opinions of specialists working in this field.

Искусственный интеллект глазами российских студентов: настоящее и будущее

The study, which involves 265 respondents, is aimed at identifying student youth’s attitude to using artificial intelligence in various spheres of life and ideas about it. To collect data, the authors use a questionnaire, including open questions and multiple-choice tasks in its main part. To process the data the paper applies content analysis, descriptive statistics and Pearson’s 2 criterion. It is found that students understand the phenomenon of artificial intelligence differently, interpreting it as an imitator of the human brain, a tool or a practice-oriented solution, a certain algorithm or scientific knowledge. Some students do not clearly understand the essence of the term “artificial intelligence” or find it difficult to interpret it. Students associate the main functionality of artificial intelligence with the increased labour or study productivity, with assistance in performing routine; less often, they associate it with creative tasks. However, some students cannot determine the functionality of artificial intelligence or do not see any prospects for its development for humans. Most students, considering artificial intelligence as their assistant, which reduces the time of obtaining data and creates certain conveniences, turn to it to solve their problems often or rarely. They are ready to use only free services or determine the budget for such expenses taking into account the tasks they are to solve. Students find the main barriers to using artificial intelligence in the issuance of standard, stereotypical solution options and the limitation on the data volume. Students see the prospects for the artificial intelligence development in its limitation in the legal field and possible superiority over the human mind. It is advisable to include knowledge of the artificial intelligence concept and the ability to determine its functionality in the list of universal competencies mastered at the university, and understanding the essence of artificial intelligence and the ability to use it in the context of solving applied problems should be included in professional competencies.