Social communications in management and advanced technologies based on artificial intelligence: points of intersection

The article is devoted to the study of the application of artificial intelligence technologies in law enforcement activities in Ukraine and the world. The purpose of the article is to analyze the international and domestic experience of using digital technologies in law enforcement activities, to identify the shortcomings of the legal regulation of the use of artificial intelligence in this area, to provide proposals for its improvement in Ukraine. It was found that one of the countries that is actively expanding the use of artificial intelligence and successfully introducing relevant technologies into public administration is China. The artificial intelligence system which is used in China called «Zero Trust». The purpose of using this system is to prevent the commission of corruption offenses. It is emphasized, that the disadvantage of the «Zero Trust» system is that artificial intelligence, identifying the cause of corruption, does not indicate the algorithms and principles of this process. At the same time, the experience of using artificial intelligence in the field of preventing and combating corruption in Ukraine is considered when carrying out automated verification of persons declarations of authorized to perform state and local government functions. Ways of improving legal regulation when conducting financial control of declarations using artificial intelligence technologies are proposed. It has been found that artificial intelligence is widely used in the USA to predict the prevalence and state of crime. It was emphasized that Ukraine also has experience in the application of artificial intelligence technologies in law enforcement activities. Artificial intelligence is used in the development and implementation of departmental specialized intelligent software, the implementation of operative and investigative actions (for the recognition of video objects observation by comparing images in social networks, etc). It was concluded that artificial intelligence and digital technologies help to quickly process large volumes of information in the investigation and prevention of criminal activity. Modern developments in the field of artificial intelligence and advanced digital technologies, which are implemented in foreign countries to prevent and fight crime, are of great importance for the improvement of legal regulation in this field in Ukraine.

Fruits and vegetables preservation based on AI technology: Research progress and application prospects

Art education has undergone significant transformation in the era of digitalization. With the advancement of Artificial Intelligence (AI) technology, there is tremendous potential to enhance the art learning experience. This research aims to elucidate how AI technology can be effectively utilized to improve art education in the context of digitalization. The study aims to introduce AI technology and explore its potential applications in enhancing the art learning experience. In the context of art learning experience, AI technology can provide broader access to digital art collections, online galleries, and virtual museums. Students can explore various artworks and cultures through digital platforms, thereby enriching their understanding and appreciation of art. The research findings reveal that AI technology can offer personalized guidance to students in developing their artistic skills. Intelligent AI systems can analyze students' artworks, provide tailored suggestions, and assist in enhancing their technical and creative abilities. In conclusion, the integration of AI technology in art education holds immense potential to elevate students' learning experiences. By expanding access, providing personalized guidance, and creating interactive experiences, AI technology enriches art learning in the era of digitalization. This is expected to provide greater insights and understanding of how AI technology can be harnessed to enhance the art learning experience in the context of digitalization. By optimizing the potential of AI, art education can become more inclusive, personalized, and engaging.

Artificial intelligence technologies have transformed the education sector and require the introduction of new teaching and learning practices, the development of artificial intelligence courses, and educational research. The aim of the study is to analyse regulatory documents in the context of introducing artificial intelligence technologies into the educational process and to determine the trajectory of preparing students for the use of artificial intelligence technologies. The article analyses current approaches to integrating artificial intelligence technologies into the educational process of higher education institutions and their impact on the development of digital competence among students. The challenges, opportunities and risks of using artificial intelligence technologies in education are identified, and international and Ukrainian regulatory documents governing the introduction of artificial intelligence are outlined, in particular the UNESCO framework, the European Commission’s ethical recommendations on the use of artificial intelligence for educators, the European Strategy for Artificial Intelligence in Science, and the Concept of Artificial Intelligence approved in Ukraine. The need to create a regulatory and ethical framework for the implementation of artificial intelligence technologies in educational institutions is emphasised. Based on an analysis of regulatory documents and best practices, a conceptual technology for integrating artificial intelligence technologies into the educational process has been developed, which includes target, technological, content-methodological, ethical, and performance-evaluation components. The trajectory of training students to use artificial intelligence technologies in their professional activities and the experience of introducing the academic discipline ‘Artificial Intelligence Technologies’ are presented. The necessity of forming in students a conscious, safe and responsible use of artificial intelligence tools, the development of critical thinking and the development of strategies for educational institutions in the context of using artificial intelligence technologies is substantiated. The study showed that the use of artificial intelligence contributes to the high-quality organisation of the educational process, the improvement of teaching methods, and the development of future-oriented critical thinking skills in students.

Objectives: The objective of this scientific paper is to shed light on the challenges facing the legislative industry in the field of artificial intelligence (AI) technologies. Specifically, it aims to anticipate and predict the difficulties related to creating an independent legal personality for AI tools, enabling them to assume rights and obligations, as well as establishing criminal responsibility and punishment in cases where AI technologies commit crimes punishable by law. Methods: To achieve the stated objectives, this paper employs a theoretical and analytical approach. It involves a comprehensive review and analysis of existing literature, legal frameworks, and case studies related to the legal implications of AI technologies. Additionally, hypothetical scenarios and potential challenges are discussed to illustrate the complexities involved in creating legal frameworks that address the unique nature of AI tools and their impact on society. Results: The analysis reveals several key challenges facing the legislative industry in the field of AI technologies. These challenges include the conceptualization of an independent legal personality for AI tools, determining the rights and obligations associated with such personality, and establishing mechanisms for holding AI technologies accountable for their actions. Furthermore, the paper explores the difficulties in imposing criminal responsibility and punishment on AI technologies in cases where they commit crimes. Conclusion: In conclusion, this scientific paper highlights the complexities and challenges associated with creating legal frameworks for AI technologies. By anticipating and predicting these challenges, it provides valuable insights for legislators, policymakers, and legal professionals involved in shaping the regulatory landscape for AI. Moving forward, it is essential to address these challenges proactively and develop legal frameworks that strike a balance between promoting innovation and safeguarding societal interests in the era of artificial intelligence.

PurposeThe introduction of artificial intelligence (AI) technology has had a substantial influence on the retail industry. However, AI adoption entails considerable responsibilities and risks for senior managers. In this study, the authors developed an evaluation and selection mechanism for successful AI technology adoption in the retail industry. The multifaceted measurement and identification of critical factors (CFs) can enable retailers to adopt AI technology effectively and maintain a sustainable competitive advantage.Design/methodology/approachThe evaluation and adoption of organisational AI technology involve multifaceted decision-making for management. Therefore, the authors used the analytic network process to develop an AI evaluation framework for calculating the weight and importance of each consideration. An expert questionnaire survey was distributed to senior retail managers and 17 valid responses were obtained. Finally, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to identify CFs for AI adoption.FindingsThe results revealed five CFs for AI adoption in the retail industry. The findings indicated that after AI adoption, top retail management is most concerned with factors pertaining to business performance and minor concerned about the internal system's functional efficiency. Retailers pay more attention to technology and organisation context, which are matters under the retailers' control, than to external uncontrollable environmental factors.Originality/valueThe authors developed an evaluation framework and identified CFs for AI technology adoption in the retail industry. In terms of practical application, the results of this study can help AI service providers understand the CFs of retailers when adopting AI. Moreover, retailers can use the proposed multifaceted evaluation framework to guide their adoption of AI technology.

In addition to creativity, modern landscape design also needs some auxiliary tools to predict the design effect, so as to ensure the design effect before the completion of the landscape. With the development of computer network and electronic information technology, human society has entered the information age, and artificial intelligence technology has been applied to all walks of life. With the continuous development of artificial intelligence, artificial intelligence has existed in all aspects of our lives and has a great impact on our lives. At the same time, through the achievements in recent years, artificial intelligence gradually affects other fields such as design. Therefore, combined with the current situation of landscape design auxiliary system in China, this paper introduces artificial intelligence and information technology into it, and makes the landscape design auxiliary system get further development with the help of artificial intelligence and information technology. This paper first introduces artificial intelligence, analyzes the advantages and development trend of automatic informatization of landscape design auxiliary system, and finally discusses the application of artificial intelligence technology in landscape design auxiliary system.

Artificial Intelligence (AI) technologies are becoming increasingly pervasive throughout the business industry. The rapid diffusion of this technology in organizations is due to the intrinsic benefits that can be realized by those who successfully adopt them into their business practices. Those organizations that fail to adopt AI technologies will be at a competitive disadvantage over those that do. As can be found throughout IS literature, successful adoption depends on users’ attitudes and behavioral intentions toward AI technology. Therefore, given the rapid diffusion of AI and the need for organizational success, it is important to research and understand the determinants of users’ attitudes and behavioral intentions toward adopting AI technologies.This current research proposed an extended Technology Acceptance Model (TAM) that includes variables identified within literature to be determinants of users’ attitudes and behavioral intentions toward adopting AI technologies. The proposed model (PM) was then tested by conducting a cross-sectional survey of students in a business college. The survey results were analyzed to determine which of the proposed variables increase TAM’s ability to explain attitudes and predict behavioral intentions toward adopting AI technologies. Further analysis also identified which of the proposed variables significantly influence business students’ attitudes and behavioral intentions to adopt AI technologies.The study found support that perceived usefulness was a significant determinant of students’ attitudes towards AI technologies. However, contrary to previous findings, the study found perceived ease of use negatively influenced attitudes towards AI technologies. From these findings, this study sought to provide insights that can inform educators and practitioners of curriculum and training design topics that will increase the likelihood of AI technology adoption. Specifically, the results suggested that educators and curriculum and instructional design practitioners should focus on usefulness and not on simplicity of use. The study also recommended that future research extend the current model with moderators and mediators such as innovation resistance and perceived risk.<br>

The acceptance of technology at the higher educational level has been a significant discussion, with little attention on the gender dynamics on the acceptance of artificial intelligence (AI ) tools by senior lecturers. This study delved into a detailed analysis of the gender dynamics in the discussion of technology acceptance mainly AI tools, in foreign language (FL) education. Quantitative study approach was adopted in the process, and survey design was implemented. Data was collected using structured digital questionnaire, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A total of ninety-five (95) male senior lecturers and one hundred and three (103) female senior lecturers participated in the study. Analysis was conducted using relevant statistical measures. The results showed disparities in the attitudes and views of senior lecturers towards artificial intelligence (AI) technologies in the context of FL education, greatly influenced by gender. In relation to usage, male senior lecturers have higher positive reactions (61.06%) in comparison to their female counterparts (46.6%). However, in relation to the assumption that AI technologies improve the performance of learners, 69% of male senior lecturers agree with this notion, but a substantially greater percentage of 72.81% of female senior lecturers hold the same perspective. Moreover, there exists a little disparity in the level of proficiency in using AI technologies across genders. Specifically, 56.84% of male senior lecturers see it as uncomplicated, while 61.16% of their female counterparts share the same sentiment. The gender discrepancy that is most notable pertains to the perceived level of ease in using artificial intelligence (AI) technologies during foreign language (FL) lessons. The data reveals that a majority of male senior lecturers, calculated as 69.48%, see the use of these tools very easy. In contrast, a much higher proportion of female senior lecturers, 86.41%, share the same perception. This discrepancy highlights a notable disparity in confidence levels between the two genders. These results together emphasise the changing gender dynamics in the acceptance of technology, interrogating conventional assumptions and underscoring the need for customised support systems to guarantee fair and efficient integration of artificial intelligence (AI) technologies in foreign language instruction among senior lecturers.

Artificial intelligence (AI) technology, as one of the most sophisticated science and technology in today's world, is increasingly being used to production and life, particularly in the manufacturing business. it demonstrates how artificial intelligence technology is used in mechanical manufacturing, namely in defect detection, quality inspection, enhancing workplace safety, and other areas. Artificial intelligence technology is becoming increasingly important in people's lives as it becomes more widely used in people's daily lives, such as the widespread use of smart dishwashers and smart sweepers, which are the products of the fusion of artificial intelligence and the mechanical manufacturing industry. Indeed, artificial intelligence technology has been widely utilized in the mechanical manufacturing business, which not only ensures production precision, but also enhances job productivity and workplace safety. The rise of artificial intelligence has caused significant changes in the manufacturing industry as a whole. Without exception, the manufacturing industry must rely on AI technology to accomplish automation and intelligent development, as well as to improve productivity. Using artificial intelligence to categorize mechanical components, we may propose parts from a based solely on an image or CAD model. To find a necessary component in a machines we must currently browse through a catalogue and be able to discern which part you want based on the available possibilities and your understanding of the catalogue. There are serial numbers to memorize since a single digit or character change might indicate a different sort of part. The algorithm will choose which sections are the best and will significantly facilitate our search.

Artificial Intelligence (AI) has transformed the e-commerce landscape, influencing consumer behavior significantly. This study aims to explore the various ways AI impacts e-commerce, utilizing numerical data to analyze consumer preferences, purchasing patterns, and overall shopping experiences. The findings reveal both advantages and disadvantages, providing a comprehensive overview of AI's role in shaping modern consumer behavior. This study examines the transformative effects of artificial intelligence on E-commerce and consumer preferences and purchasing patterns have evolved. this paper analyzes various numerical data, identifies key trends, and discusses the advantages and disadvantages of AI in E-commerce. In online shopping enterprises, AI technology has been widely used to provide accurate and fast personalized consumer services. This research demonstrates the use of AI technology in the e-commerce business, specifically online enterprises, to determine different effects. The study was conducted in Jordan and involved about 230 participants. The study evaluated different impacts of AI, such as e-payment and stimulating consumers' sentiments. The study used the Stimulus–Organism–Response model (SOR) empirical model, which states that the examination of human processes differs from that of the machine assessment. The model classified the AI technology experienced by the customers' when they visit online to do purchasing. Online purchasing behaviors can be influenced by insight, accuracy, and interaction experience. Also, the perceived value was used as a mediating variable from the prospects of perceived hedonic and utility value. The research integrated empirical research models such as SEM and SPSS to analyze the data on the effects of three-dimension. The results indicated that the AI technology accuracy, interactive experience, and insight significantly affected customers' perceived hedonic and utilitarian values. KEYWORDS: AI in consumer behavior, Artificial Intelligence etc

In an era where artificial intelligence (AI) technology is increasingly penetrating various aspects of life, including education, it is important to understand its impact on students' social relationships. These changes raise questions about how interactions between students and teachers are affected by AI Technology. This research aims to investigate the impact or artificial intelligence on students' social relationships in an educational environment. The focus is on understanding changes in interactions between students, student-teacher interaction, as well as broader implications for social dynamics inside the classroom and outside the classroom. The research method used is a literature review which uses data collections sources that are relevant to this research, which can be in books, megazines and other print media, or can be obtained from photos and videos. The research results show that artificial intelligence technology has a complex impact on students' social relationships. Although it can improve efficiency and learning outcomes, AI technology can also reduce social inequality, and create excessive dependence on technology. Educators and policymakers need to carefully consider the use of AI technology in education to ensure that positive impacts are maximized, while negative impacts are minimized.

Introduction. Modern organizations operate with large volumes of data from various sources, in particular: intelligent sensors; tools for monitoring, controlling and diagnostics; syslogs and human-generated content, etc. others Artificial intelligence technologies increase the capabilities of data analysis and use them for effective business, can create original images and texts for marketing purposes and give intelligent recommendations for analytics. The above indicates that artificial intelligence is gaining more and more importance as a tool for increasing efficiency, optimizing resources and providing competitive advantages to the enterprise's business strategies. Purpose. Identification of the key advantages of using artificial intelligence technology for enterprise management and analysis of its impact on productivity, quality and efficiency of business processes, as well as prospects for the development of this technology in the modern business environment. Methodology. Systematic analysis of scientific publications on this topic. The summarization of materials on the research topic was carried out in accordance with the established requirements for a comprehensive search of scientific publications in open access in order to identify general trends and assess the prospects for the development of this technology in the modern business environment. The results. In the materials of the article, the justification of the key advantages of using artificial intelligence for the management of enterprises is provided and it is established that artificial intelligence has a significant potential for automating routine tasks, in particular, such as document processing, database management or creating reports, etc. It is noted that artificial intelligence contributes to the rational justification of management decisions based on the analysis of large volumes of data in the company's activities, taking into account the behavior of consumers of products (services), relevant financial and economic indicators and market trends. It is advisable to use artificial intelligence in the optimization of supply chains taking into account the risk and justification of alternative logistics solutions. In the field of quality control, artificial intelligence provides automatic detection of defects with the help of computer vision, which reduces the amount of defects and increases compliance with standards. In addition, it is an effective tool for personnel management, assisting in recruitment, performance evaluation and forecasting of training needs. Based on the results of the research, it was concluded that artificial intelligence is becoming an integral part of modern enterprise management, providing opportunities to optimize business processes by reducing costs and introducing innovations. It has been established that in order for enterprises to make the most of the advantages of artificial intelligence technology, it is necessary to invest in the adaptation of internal processes and personnel training, which contributes to the creation of prospects for long-term progressive development, ensuring flexibility and competitiveness in conditions of rapid changes in the market environment.

With the continuous advancement of artificial intelligence (AI) technology, an increasing number of enterprises have integrated it into the field of human resource management, presenting both new opportunities and challenges. AI technology can assist the human resources department in more efficiently processing and analyzing large amounts of data during the recruitment process, thereby optimizing recruitment procedures and enhancing the overall organizational efficiency and employee satisfaction. The aim of this study is to provide valuable guidance and reference for enterprises to effectively utilize AI technology in recruitment efforts. Initially, this article outlines the current application of AI technology in corporate human resource management. Subsequently, through specific cases, it conducts an in-depth analysis of the practical application of AI in the recruitment process. Finally, a comprehensive evaluation of the cost-effectiveness and applicability of AI technology in recruitment is presented.

In this study, we considered projects in which enterprise service systems are developed using artificial intelligence (AI) technologies. Many enterprises have started applying AI technologies to their business functions. When introducing AI technologies effectively, it is important to identify suitable business domains in the enterprise before planning projects. We proposed a GQM+Strategies-based method for identifying business domains where AI technologies can be applied and confirmed the effectiveness of the proposed method through a real business analysis.