Use Of Artificial Intelligence Technologies Research Articles

Artificial intelligence in the Russian regions

Objective: to provide a comparative assessment of the use of artificial intelligence technologies by organizations in the context of Russian regions and to identify determinants of their dynamics. Methods: descriptive statistics, histogram, grouping, principal component method, panel data models. Results: an absolute trend of recent years is to study and implement artificial intelligence technologies in many economic, industrial processes and social life. The article analyzes the trends in the application of artificial intelligence technologies in the Russian regions. The comparative analysis of regions by the level and growth rate of artificial intelligence technologiesuse by organizations showed that the regions were heterogenous by the dynamics of this indicator in 2020-2022. The regions were divided into four groups: above average and below average level in Russia. Econometric modeling based on the method of principal components gave grounds to unite the determinants of the use of artificial intelligence technologies into four components. Panel data fixed-effects models showed a significant impact of the component, characterizing the state of human capital, the level of economic development, and innovation activity of organizations in the region. Scientific novelty: for the first time an attempt was made to provide a comparative analysis of Russian regions by the level of artificial intelligence technologies use by organizations and to find the determinants of its change. Practical significance: the heterogeneity of regions in terms of the artificial intelligence technologies use by organizations was substantiated, as well as a great impact of the specific characteristics of regions, which should be taken into account when building a national policy of artificial intelligence development.

DEFINING COMPONENTS OF THE METHODOLOGICAL PLATFORM FOR FORMING A BUSINESS PORTFOLIO OF A COMPANY IN THE UPDATED FORMAT OF MODERN DEVELOPMENT

The article is devoted to the analysis of the economic and operational imperatives of forming a business portfolio for a development company in the construction sector. A successful business portfolio management strategy requires the integration of financial, organizational, and technological aspects to ensure the sustainability and competitiveness of the business. In modern conditions, real estate development is one of the key factors that determines the dynamics of enterprise development, as it includes a comprehensive approach to asset management, from planning and financing to the construction and operation of objects. The theoretical and methodological foundations of the genesis of development at the current stage of the construction market's evolution have been analyzed.The methodological platform for forming a business portfolio should be based on the principles of rational resource management, risk analysis, and technological optimization. Changes in development activities require the active use of digital tools and a comprehensive approach to managing residential, commercial, and industrial properties, which allows for the maximization of profitability and minimization of risks.The article discusses the main stages of portfolio formation, such as strategic planning, selection of investment objects, and their integration into the overall structure of the enterprise. An economic and mathematical formalization of the process is also provided. For the successful operation of a development company, it is crucial to ensure coordinated work at all stages of the project — from planning and financing to construction and commissioning of the facilities.Particular attention is paid to the methods of economic and mathematical modelling (EMM) and quantitative risk analysis, which have become the basis for the development of the latest asset management strategies. The study analyses 35 different techniques. Each methodology offers unique tools for the effective management of development projects that allow forecasting financial flows, determining optimal investment strategies, and building the best plans for the development of a real estate portfolio. The specific methods used to value residential, commercial and industrial real estate are also discussed, taking into account their different levels of risk and return.It is important to note that the updated methodological platform is suitable for adaptation to the latest technologies and digital tools. This includes the introduction of a project management system, the use of artificial intelligence technologies to analyse large amounts of data, and the use of analytical tools to predict market trends. This approach helps to optimise asset management in a changing market environment. The analysis of the main components of the business portfolio formation platform also showed that important factors for the successful implementation of development projects are the speed of response to market changes, flexibility of management decisions, and the ability to minimise risks at all stages of the project.

The Incorrect Use of Artificial Intelligence Applications among University Students and their Impact on the Credibility of Learning

This study aims to explore the level of using artificial intelligence applications among university students and their impact on the credibility of e-learning. The study used the descriptive method because it is suitable for the study. The study included a sample of 94 Jordanian university students, who were selected by stratified random method. The study used a questionnaire of 40 items as the research instrument to determine the level of the use of artificial intelligence technology and distance education in distorting the contemporary educational landscape. The results showed that universities try to limit the incorrect use of AI applications among students by using specific detection tools. The students showed that their universities have strict rules and regulations regarding the use of AI tools in their studies. Therefore, there were low estimations from the students on the large incorrect usage of AI tools. The results also revealed that gender and the specialization of the student do not affect their views toward the incorrect use of AI tools in their education, whether face-to-face education or online education.

Обновление стратегического вектора развития искусственного интеллекта в России: правовые аспекты

The systematic development of artificial intelligence in Russia began in 2019 with the approval of the National Strategy for the Development of Artificial Intelligence for the period until 2030. For the first time, it reflects the state’s comprehensive approach to the named institute: key concepts are defined, goals, main tasks, and priority areas for the use of artificial intelligence technologies are established. Their legal regulation was based on the “soft law” model. The active introduction of artificial intelligence into the economy, as well as new scientific developments, have led to a change in its strategic vector as early as 2024. The article analyzes the updated National Strategy, focusing on the new section that consolidates the creation of a system of legal regulation of artificial intelligence. A critical assessment is substantiated regarding the lack of forward movement in regulation from “soft law” to mandatory legislative norms.

Legal Liability Arising from Artificial Intelligence Activities

Criminal liability concept has become widespread in light of the increasing use of artificial intelligence technologies all life aspects and it is within a wide scope that requires urgent legislative intervention. With this use of artificial intelligence, many artificial intelligence crimes have emerged in all areas of artificial intelligence in addition to problems in determining criminal liability. This study aimed to investigate artificial intelligence characteristics, clarify the legal responsibility resulting from the actions of artificial intelligence and to determine the penalty resulting from artificial intelligence actions. Results indicated that the legal responsibility resulting from the artificial intelligence actions, which has emerged at the present time after the expansion of the use of these technologies in all sectors of life is inseparable from the responsibility of the innovator, part of the factory, or all of the responsibility of each individual. Intervention in all areas of work through artificial intelligence. The study recommended with the necessity of establishing mechanisms to monitor the work that falls within artificial intelligence techniques by specialists for the purpose of avoiding technical errors that affect the safety of users of artificial intelligence technique.Artificial Intelligence

University Students’ Attitudes toward Artificial Intelligence: An Exploratory Study of the Cognitive, Emotional, and Behavioural Dimensions of AI Attitudes

Artificial intelligence (AI) drives new modes of learning and improves the workflow of instructors. Nevertheless, there are concerns about academic integrity, plagiarism, and the reduction of critical thinking in higher education. Therefore, it is important to record and analyze university social sciences students’ attitudes toward AI, which is a significant predictor of later use of AI technologies. A sample of 190 university students (82.45% female) from a Greek social sciences department was selected. Descriptive statistics revealed that students’ attitudes toward AI were mostly positive. A principal components analysis confirmed a three-component solution of attitudes toward AI, comprising cognitive, behavioral, and emotional dimensions. Comparative analysis of the three components indicated that the emotional dimension was the highest ranked, followed by the cognitive and behavioral dimensions. Pairwise correlation analyses revealed that the strongest correlate of cognitive, behavioral, and emotional components of attitudes toward AI was the future frequency of AI use, followed by general feelings of safety with technology. In conclusion, students display more emotional and cognitive favorable dispositions toward AI. The social background of the students and the prospective future use of AI play a key role in the formulation of attitudes toward AI. University educators need to provide more teaching and learning about AI to improve students’ attitudes toward AI and future AI use.

Trends in the application of artificial intelligence technologies in the military and technical sphere

The role and significance of artificial intelligence technologies in the military-technical sphere are determined. The principles of using artificial intelligence technologies in the activities of the armed forces are outlined. Attention is focused on the threats and risks posed by the use of artificial intelligence in the military-technical sphere. The peculiarities of the legislative provision of the military use of artificial intelligence technologies in the USA are highlighted. Detailed aspects of the technological implementation of artificial intelligence during the execution of military tasks in the context of the American experience. The conceptual foundations of the russian use of artificial intelligence technologies of a military nature are revealed. The institutional capabilities and achievements of the russian federation in the field of technological support of the needs of the army in the field of artificial intelligence have been determined. The scope and directions of the russian army's innovative developments using artificial intelligence technologies are outlined. It has been updated that unmanned systems are singled out as a special priority for the application of technologies in the field of artificial intelligence of the russian federation. The main global trends in the use of artificial intelligence technologies in the military sphere are revealed. Further directions of improving the field of military use of artificial intelligence technologies have been identified. It was concluded that the development, introduction and approval by the world community of criteria for the responsible use of artificial intelligence for military purposes will contribute to the construction and formation of an international consensus on the responsible handling and use of artificial intelligence technologies.

A snapshot of Bulgarian school teachers’ familiarity with, use of, and opinions on artificial intelligence at the threshold of its incorporation into the educational process

The current study was designed within a survey-based quantitative research methodology in order to investigate Bulgarian teachers’ familiarity with, use of, and attitudes toward artificial intelligence (AI) at the nascent stage of its integration into the Bulgarian education system. The survey was completed by 2252 teachers, of whom 16.30% were men and 83.70% were women. The majority of the teachers (72%) reported some level of familiarity with AI technology. Higher levels of familiarity were significantly associated with younger teachers (aged 20 to 29), mathematics, sciences, and technology subject areas, as well as the male gender. More than 50% of the teachers reported using AI technology in their instruction. Familiarity with AI technology was the only significant predictor of AI use, overriding the effect of other variables. The teachers used AI technology to prepare teaching, assessment, and homework materials; design individual and team tasks; and grade students' work. The teachers who regularly used AI technology were more favorable towards AI in contrast to those who seldom or never employed AI. The majority of the respondents recognized the need for teacher training in AI technology and expressed willingness to participate in teacher training initiatives. Therefore, the current situation requires teacher education programs to harness teachers’ needs by equipping them with relevant AI literacy and skills that they could apply to the critical adoption of suitable AI tools. Educational institutions and stakeholders should provide guidelines and consultancy regarding technical, methodological, and ethical issues concerning the instructional use of AI technology.

The global risks of using chat-bots сontrolled by artificial intelligence

The role and importance of artificial intelligence are defined. The prerequisites and trends of the use of artificial intelligence technologies in the development of chatbots are revealed. The necessity of creations the criteria and indicators for evaluating the effectiveness of chatbots controlled by artificial intelligence are focused. The risks of using artificial intelligence technologies in chatbots, namely: risks of discrimination; cyber security risks; risks to confidential data; ethical risks, validation risks are detailed. The conditions, features and algorithms for using chatbots with the use of artificial intelligence are defined. The conditions, features and algorithms for using chatbots with the use of artificial intelligence are defined. Based on the results of the research, it was concluded that the introduction of chatbots based on generative artificial intelligence has both advantages and global risks associated with the criminal and illegal use of these technologies. The threats and dangers provoked by the chatbots based on artificial intelligence and their consequences are revealed. The directions to minimize the risks of using chatbots controlled by artificial intelligence have been determined.

Analisis Deskriptif Penerapan Kecerdasan Buatan, Prediksi Integritas, Kinerja Keuangan dan Ukuran Perusahaan di Perbankan Indonesia dan Singapura Tahun 2021 – 2023

This study aims to analyze the application of artificial intelligence, integrity prediction, financial performance, and company size in the Indonesian and Singapore banking sectors during the 2021-2023 period. Secondary data is used in this study, including annual reports, financial reports, and other relevant data sources. The quantitative descriptive method was applied to analyze the collected data. The results show that the adoption of artificial intelligence in the banking sector has had a positive impact on operational efficiency, fraud detection, and risk management. In addition, corporate integrity prediction plays an important role in maintaining the stability and reputation of financial institutions, with artificial intelligence technology assisting in detecting potential risks and fraudulent activities. This study also found that firm size, as measured by total assets, contributes significantly to bank financial performance. These findings make an important contribution to the literature and provide insights for policy makers and banking practitioners to optimize the use of artificial intelligence technology and integrity prediction in improving firm performance and competitiveness.

Механизмы внедрения технологий искусственного интеллекта в здравоохранение: новые этические вызовы

Currently, systems based on artificial intelligence (AI) are finding increasing application in medicine. Acting as assistants of both the attending physician and managing physician, they can be a good help in solving a number of problems in modern healthcare, such as staff shortage, professional burnout and, in some cases, insufficient staff qualification. However, this leads to increased requirements for reliability of such systems. Introduction of a new advanced technology raises a number of ethical issues and problems, the solution of which is necessary to gain trust of people and reduce distrust associated with the use of AI technologies. It seems that if ethical standards determine and set the progressive development of artificial intelligence, this will lead to the maximum benefit from the use of this technology in healthcare. The paper examines the ethical aspects of transition of software into the category of medical devices. At the same time, legal and organizational mechanisms for solving ethical problems at both the international and domestic levels are provided. The activities of both public and government organizations in this field are considered. The need to obtain the permission of ethical committees for conducting clinical trials and ensuring informed consent of patients is emphasized. It also highlights the importance of integrating medical data into structured datasets that can be registered as databases. This will contribute to improved quality of medical research and practice.

The Use of Artificial Intelligence Technologies in Cancer Care

Artificial intelligence (AI) is already an essential tool in the handling of large data sets in epidemiology and basic research.Significant contributions to radiological diagnosis are emerging alongside increasing use of digital pathology. The future lies in integrating this information together with clinical data relevant to each individual patient. Linkage with clinical protocols will enable personalized management options to be presented to the oncologist of the future.Radiotherapy has the distinction of being the first to have a National Institute for Health and Care Excellence (NICE)-approved AI-based recommendation. There is the opportunity to revolutionize the workflow with many tasks currently undertaken by clinicians taken over by AI-based systems for volume outlining, planning, and quality assurance.Education and training will be essential to understand the AI processes and inputs. Clinicians will however have to feel confident interrogating the AI-derived information and in communicating AI-derived treatment plans to patients.

АНАЛИЗ УГОЛОВНОГО ПРАВОСУДИЯ И КИБЕРПРЕСТУПНОСТИ В КОНТЕКСТЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ЧЕРЕЗ ПРИЗМУ МЕЖДУНАРОДНЫХ ОРГАНИЗАЦИЙ

The scientific article is aimed at analyzing issues related to the use of existing international instruments in the fight against cybercrime in the context of the use of artificial intelligence technologies. Within its framework, an assessment is made of the current position of international organizations and their potential impact on legislation and processes in the field of combating cybercrime in the near future. The focus is on analyzing the implications of artificial intelligence developments for the effective management of the criminal justice system, particularly in the context of combating cybercrime. The study also examines current trends and practices in the use of artificial intelligence systems and applications to carry out harmful and illegal activities, including phenomena such as deepfakes. The final part of the article proposes alternative approaches to developing effective measures to combat cybercrime carried out using artificial intelligence systems.

Can the Pioneering Impact of Artificial Intelligence in Anaesthetic Practice Uphold Good Medical Practice?

The potential applications of Artificial Intelligence (AI) in anaesthesia are expansive.~However, like any technological advancement, the integration of AI in anaesthetic practice comes with both benefits and potential risks. This article seeks to set out some of the advantages and disadvantages of the use of AI technologies within the field of anaesthesia. Benefits of the application of AI in anaesthesia include an improvement in perioperative risk stratification, personalisation of anaesthetic plans, improvement in efficiency and ultimately reduce healthcare costs. However, reliance on technology may reduce clinical acumen but furthermore there are issues surrounding data quality, privacy as well as legal and ethical concerns, which require further evaluation. Whilst AI within anaesthetic practice holds immense promise, there are substantial challenges which require careful consideration and ongoing evaluation. A collaborative approach will be required from healthcare staff, developers and regulators to promote the safe, responsible, and effective application of AI in anaesthesia practice.

Impacts and ethics of using Artificial Intelligence (AI) by the Indian Police

PurposeThe paper aims to examine the impacts and ethics of utilizing Artificial Intelligence (AI) in Indian policing. It explores both the positive and negative consequences of using AI, as well as the ethical considerations that have be taken into account.Design/methodology/approachThis study is based on secondary sources of information, such as national and international reports, journal articles, and institutional websites that discuss the use of AI technology by the police in India.FindingsAI has proven to be effective in policing, from preventing crime to identifying criminals, by detecting potential crimes in advance with fewer resources and in more areas. In India, the police use AI technology not only for facial recognition but also for crime mapping, analysis, and building blocks. However, factors such as caste, religion, language, and gender continue to cause conflict. India has shown a strong interest in using AI technology for policing, and wishes to accelerate its implementation in various policing contexts, including law and order. This paper calls for an assessment of the complexities and uncertainties brought about by new technologies in policing with ethical considerations.Originality/valueThis paper can provide valuable insights for policy-makers, academics, and practitioners engaged in discussions and debates concerning the ethical considerations associated with the adoption of AI tools in policing practices.

The Promising Role of Artificial Intelligence in Navigating Lung Cancer Prognosis

Incorporating AI in lung cancer management is a disruptive innovation that has improved diagnosis accuracy, prognosis prediction and treatment modalities. In this literature review, we seek to identify the role of artificial intelligence (AI) and machine learning (ML) in lung cancer detection, diagnosis and treatment between 2010 and 2023. A total of 55 studies were selected systematically from databases such as IEEE Xplore, Scopus and PubMed via a PRISMA-based approach. The analysis reveals that artificial intelligence (AI) techniques, specifically convolutional neural networks (CNNs) and natural language processing (NLP), highly improve the precision of initial detection and imaging of lung cancer. Also, CNN distinguishes between benign and malignant nodules, thus aiding early diagnosis and reducing unnecessary biopsies. On the other hand, NLP is utilized to extract relevant clinical information from electronic health records and unstructured medical texts, thereby enhancing the understanding of patient histories and improving treatment planning. Sensitive and specific scores usually higher than standard techniques characterize these technologies. Results show that traditional statistical approaches couldn’t match AI models whose predictive accuracies are outstanding while providing better care to patients through personalised treatment plans. Furthermore, multi-omics data analysis for personalised treatment planning and clinical decision-making optimisation via Clinical Decision Support Systems (CDSS) powered by AI are some ways artificial intelligence has exhibited its potential in this area. Given this, future studies should aim to fine-tune AI algorithms, improve data integration, and address ethical issues promoting responsible use of AI technologies in clinical practice settings. Despite these advances, data quality, model interpretability, and integration into clinical workflows persist. This review demonstrates the demand for continued research and collaboration from different disciplines so that the complete possibilities of AI in fighting lung cancer may be realised.

ARTIFICIAL INTELLIGENCE – POWERED VIDEO CONTENT GENERATION TOOLS

This article discusses the considerations of artificial intelligence-powered video content generation tools, exploring their applications, ethical considerations, and evaluation criteria. Through discussions of various artificial intelligence (AI) tools, including features, limitations, and implications, the authors analyze the evolving landscape of video creation in the digital age. Key themes include the ethical implications of deep fake technology and the importance of responsible AI principles, exemplified by Microsoft's guidelines. This paper identifies five of the most promoted free social media tools. Evaluation criteria for these tools, such as visual quality, relevance, coherence, authenticity, and transparency, are examined to assess the suitability of AI-generated videos. While AI offers promising opportunities, the discussion underscores the continued need for human oversight and ethical considerations to ensure the responsible use of AI technologies in video content generation.

Revolutionizing adjuvant development: harnessing AI for next-generation cancer vaccines.

With the COVID-19 pandemic, the importance of vaccines has been widely recognized and has led to increased research and development efforts. Vaccines also play a crucial role in cancer treatment by activating the immune system to target and destroy cancer cells. However, enhancing the efficacy of cancer vaccines remains a challenge. Adjuvants, which enhance the immune response to antigens and improve vaccine effectiveness, have faced limitations in recent years, resulting in few novel adjuvants being identified. The advancement of artificial intelligence (AI) technology in drug development has provided a foundation for adjuvant screening and application, leading to a diversification of adjuvants. This article reviews the significant role of tumor vaccines in basic research and clinical treatment and explores the use of AI technology to screen novel adjuvants from databases. The findings of this review offer valuable insights for the development of new adjuvants for next-generation vaccines.

Factors affecting citizen intention toward AI acceptance and adoption: the moderating role of government regulations

Purpose This paper aims to explore factors impacting citizen intention toward artificial intelligence (AI) adoption, considering government regulation as a moderating variable. It focuses on the Palestinian Cellular Communications Sector in Gaza Strip, providing insights into the citizen-AI relationship dynamics. The research contributes to enhancing comprehension of AI technology from clients’ perspective. Design/methodology/approach To test the hypotheses, a questionnaire was used in an empirical study to collect primary data. In total, 347 Palestinian citizens responded to the survey. Findings The findings of this paper reveal that perceived usefulness, perceived ease of use, perceived risks, social influence, user experience and privacy and security concerns significantly influence citizen intention toward AI adoption. Furthermore, government regulations as a moderating variable strengthen the impact of perceived usefulness, perceived ease of use, perceived risks, social influence, user experience and privacy and security concerns on citizen intention toward AI acceptance and adoption. Thus, further research should explore specific domains and cultural contexts to gain a more comprehensive understanding of the factors shaping acceptance and adoption. Research limitations/implications The findings of the study should be understood in the context of their limitations. First, the study ignored cultural or domain-specific subtleties in favor of generic characteristics, which calls for more research in these particular circumstances. Second, relying on self-reported data might result in biases and limitations due to subjectivity in reporting, indicating the necessity for alternate data gathering methods and approaches in future research. Practical implications Policymakers, developers and organizations working to promote the acceptability and implementation of AI applications should consider the practical implications of this study’s results. To secure the long-term use of AI technologies in a responsible and user-centric way, policymakers should give priority to public education and awareness, user-centered design and ethical AI development techniques. They should also stimulate partnerships and create monitoring systems. Originality/value This paper investigates the originality of factors that influence citizen intention toward AI acceptance and adoption. It uniquely examines the moderating role of government regulations in shaping this intention. By addressing this novel aspect, the paper contributes to advancing our understanding of the complex dynamics surrounding citizen intentions toward AI applications.

STATE POLICY, HUMAN CAPITAL AND INTERNATIONAL ECONOMIC RELATIONS IN THE CONTEXT OF REFORMING LOCAL SELF-GOVERNMENT BODIES THROUGH DIGITALIZATION, ARTIFICIAL INTELLIGENCE AND SOCIO-ECONOMIC TRANSFORMATIONS

The study examines human capital as a set of socio-economic relations and as one of the determining factors of economic growth. The main attention is paid to the analysis of opportunities to improve the quality of human capital at the local level, based on mechanisms of cooperation among stakeholders and reforming the landscape of local self-government - in particular, through the creation of innovation hubs, the implementation of digitalization projects, and the expansion of the use of artificial intelligence technologies. The opportunities and benefits of direct participation of local communities in international economic relations and global supply chains are demonstrated.