Use Of Artificial Intelligence Technologies Research Articles

AI-Driven Content Creation and Curation in Digital Marketing Education: Tools and Techniques

This research paper investigates the utilization of artificial intelligence (AI) technologies for content creation and curation within the realm of digital marketing education and its subsequent impact on student engagement and learning outcomes. As digital marketing continues to evolve rapidly, educators are increasingly turning to AI-driven tools to tailor content delivery to the individual needs and preferences of students. Drawing upon a comprehensive review of literature spanning AI, education, and digital marketing, this study establishes a theoretical framework to elucidate the mechanisms through which AI-driven content influences student learning experiences. Employing a mixed-methods research design, the study incorporates both quantitative surveys and qualitative interviews to gather insights from students and instructors alike. The results reveal compelling trends indicating that AI-driven content not only enhances student engagement but also contributes to improved learning outcomes by fostering deeper comprehension and retention of digital marketing concepts. However, amidst the myriad benefits, the study also uncovers challenges such as algorithm bias and technological limitations that warrant careful consideration. This paper underscores the critical importance of pedagogical innovation and the ethical use of AI technologies in digital marketing education. By harnessing the power of AI to deliver personalized, adaptive learning experiences, educators can empower students to thrive in an increasingly competitive and dynamic industry landscape. Ultimately, this research contributes to a deeper understanding of the transformative potential of AI in shaping the future of education and preparing students for success in the ever-evolving field of digital marketing.

The Impact of Artificial Intelligence on Unemployment and Future Work

The rapid development of artificial intelligence should also affect the world market. Unemployment is ex- pected to increase as artificial intelligence can perform tasks performed by humans in many different sectors. The eight- year study (2010-2017) investigates the impact of artificial intelligence (AI) on unemployment in 26 developed and devel- oping countries. More precisely, this study uses data analysis techniques to investigate how the use of artificial intelligence technology affects unemployment in 26 different sectors. The results of a data study compiling World Bank and OECD data show a positive relationship between advances in artificial intelligence and unemployment. The advancement of artificial intelligence is determined by patent information. Due to the differences in artificial intelligence development between the countries studied, artificial intelligence development has been shown to have a positive impact on the unemployment rate in the studied countries. Additionally, compared to younger workers, older workers with higher education may have less impact on employment due to improved skills. Finally, re- search and development (R&D) spending varies widely across countries, making it difficult to aggregate. Therefore, this study does not show the relationship between the share of R&D expenditures in GDP and how artificial intelligence affects unemployment. One of the most talked about topics in the public today is intelligence. Many people associate this with changes in the economy, especially changes in the economy that are generally expected to cause high unemployment. As artificial intelligence becomes more widespread, the public tends to predict which professions will become obsolete and eventually disappear. The healthcare sector is one of the most challenged sectors outside of production due to various medi- cal treatment studies. There are other scientists who disagree with this bad proposition. They argue that the emergence of artificial intelligence will create new jobs, just like all previous economic revolutions. Keywords-- Artificial Intelligence, Unemployment, Future Work, Impact, Automation, Job Displacement, Skills Gap, Job Creation, Manufacturing, Retail, Healthcare, Reskilling, Upskilling, Policy, Regulation, Mitigation Strategies, Labor Market, Education, Training, and Economic Impact.

Artificial intelligence in accounting

Artificial Intelligence (AI) technologies open up broad horizons for enhancing business efficiency and advancing various professional domains, boosting their productivity and compe­titiveness. There is an active exploration of approaches to incorporating AI technologies in the accounting sphere, promising a seamless transition from human to machine involvement. The aim of this article is to summarize the acquired experience, identify perspectives, constraints, and risks associated with the use of AI technologies in the professional activities of accountants. The research is based on the hypothesis that widespread use of AI in the professional activity of an accountant with an insufficient level of professional skepticism and caution carries significant threats and risks for both the accountant and the business as a whole. Scientific search methods, comparative and critical analysis, theoretical generalization, and synthesis were used. A prerequisite for imple­menting AI technologies in accounting is expert information systems and ERP systems. The analysis of AI technology implementation experience in various industries demonstrates their relevance in the accounting field for performing routine tasks (automated recognition of primary documents, processing incoming signals, and other standard operations with a simultaneous reduction in the probability of errors), analyzing large datasets, and providing information support for decision-making (pro­ces­sing business data and regulatory docu­ments), training professionals, and organi­zing internal and external communication (parti­cularly between humans and machines). Identi­fied potential risks include breaches of privacy and data security, misinterpretation of output data, and the disregard of activity context, external and internal environments, especially due to the absence of emotional intelligence, which influences the trust level in integrated information systems. The requirement for the application of professional assessments and judgments, mandated by regulatory documents, limits the scope of AI technology utilization in accounting. Future research should focus on exploring the possibilities of widespread integ­ration of AI technologies in information systems for accounting and improving legislation based on the principle of risk assessment.

Graduate Students' ChatGPT Experience and Perspectives during Thesis Writing

The artificial intelligence (AI) language model ChatGPT, created by OpenAI, can assist students with academic writing assignments in innovative and distinctive ways. Several studies have investigated how postgraduate students perceive various aspects and how gender could affect their perspectives. This study analyzes the perspectives of 80 male and female postgraduate students in various academic fields at Jadara University regarding the use of ChatGPT in writing their theses. This investigation adopts a quantitative approach and extensively utilizes a questionnaire as the primary tool for data collection. The survey aims to determine how students perceive ChatGPT in terms of its usefulness, ease of use, impact on writing quality, and challenges related to dependability and academic integrity. Descriptive statistics examine gender differences in these perceptions, shedding light on postgraduate students’ usage of ChatGPT and gender-related roles. This information could enhance academic writing through the use of AI technology and inform future studies and practices.

A novel Conceptualization of AI Literacy and Empowering Employee Experience at Digital Workplace Using Generative AI and Augmented Analytics: A Survey

With the fast, rapid, and expeditious integration of Artificial Intelligence (AI) technologies, particularly Generative AI and Augmented Analytics, organizations are presented with new opportunities to transform their operations and empower their workforce. This paper explores the intersection of AI literacy, Generative AI, and Augmented Analytics to propose strategies for fostering a culture of AI fluency among employees.  This paper reviews the literature on AI literacy and its potential implications for employee experience (Ex) in digital workplaces. AI literacy and competency is the ability to understand, interact with, and thoughtfully assess the applications and ramifications of artificial intelligence (AI) across diverse domains. The paper argues that AI literacy is a key competence for employees in the digital era, as it enables them to leverage the potential of generative AI and augmented analytics, two of the most promising technologies for enhancing Ex. Generative AI refers to the use of AI to create novel and diverse outputs, such as text, images, music, or designs, while augmented analytics drives potential capability to make use of Artificial Intelligence technologies to automate and augment data analysis and decision-making. The paper discusses how these technologies can empower employees to be more creative, productive, collaborative, and engaged in their work and the challenges and risks they pose. This paper additionally highlights the obstacles, deficiencies, and proposed pathways for further research advancement concerning AI technological competency and literacy, aiming to enhance the employee experience significantly in digital workplaces.

Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates

The current work aims to analyze the main themes related to artificial intelligence (AI) and sustainable development during the pandemic period. This study provides an overview of the specialized literature related to AI and sustainability from the beginning of the pandemic through 2023. The present paper analyses scientific literature emphasizing both artificial intelligence's positive and negative impacts on sustainable development objectives (SDGs). To conduct the research, we employed bibliometric analysis and text-mining techniques to identify the major themes in the literature indexed in the Web of Science and Scopus databases. Firstly, we used descriptive measures to identify the authors' impact, the article production by country, the main keywords used, and other descriptive data. We further used data reduction methods based on co-word analysis (such as multiple correspondence analysis) on authors' keywords to show patterns in the themes explored in the literature. Bibliometric analysis was supplemented by text mining using Latent Dirichlet allocation (LDA) and structural topic modeling on abstracts to provide a comprehensive view of scientific debates on AI and sustainable development. Our research has identified various themes in the literature related to AI and sustainable development. These themes include social sustainability, health-related issues, AI technologies for energy efficiency, sustainability in industry and innovation, IoT technologies for smart and sustainable cities, urban planning, technologies for education and knowledge production, and the impact of technologies on SDGs. We also found that there is a significant positivity bias in the literature when discussing the impact of AI on sustainable development. Despite acknowledging certain risks, the literature tends to focus on the potential benefits of AI across various sectors. In addition, the analysis shows a growing emphasis on energy efficiency, which is facilitated by the use of AI technologies. Our study contributes to a better understanding of current scholarly discussion trends and emerging scientific avenues regarding AI and sustainable development. It also highlights the areas where research is needed and the implications for practitioners and policymakers.

[The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence].

As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such as investigation, integration, learning, prediction, and decision-making, holds significant potential for application in clinical care not only to enhance care quality but also to help guide the future direction of healthcare. AI applications are already being increasingly utilized to improve the quality of clinical care and to streamline workflows. However, because nursing education has lagged behind in terms of adopting AI, greater attention must be given to training up nursing students with AI-related knowledge and application skills. AI technologies should be integrated into nursing curricula and clinical internships to adapt to the rapidly changing high-tech healthcare environment, enabling the more-effective use of AI technology in providing high-quality and safe nursing care.

Artificial intelligence (AI) in efforts to prevent teenage suicide: literature review

Suicide is a highly complex mental health issue that is a leading cause of death and requires efforts to reduce the number of victims. In the modern technology era, the utilization of artificial intelligence (AI) is seen as a suicide prevention initiative and presents a significant challenge in global prevention efforts. This literature review aims to determine the use of Artificial Intelligence (AI) in efforts to prevent teenage suicide. The research method utilizes the PRISMA guidelines. This literature review employs a systematic approach and selection process. Literature sources were searched from Proquest, PubMed, Google Scholar, and Scopus databases. Out of the 7 reviewed articles, 2 were from South Korea, 2 from the United States, and the remaining 3 were from Spain, Italy, and Canada. The Cohort research design was the most prevalent in this literature review (N = 5), and one study used an RCT design (N = 1), while a Cross-Sectional research design was employed in one study (N = 1). Overall, it indicates that AI is capable of predicting suicide risk and preventing suicide. The results of the literature review indicate that the use of AI technology has benefits in preventing teenage suicide.

Может ли использование информационных технологий быть квалифицирующим признаком преступлений против интеллектуальной собственности?

Introduction. The present article is devoted to the issue of registration of the use of information technologies in committing offences against intellectual property. This issue is considered by the author in three aspects - the use of computer information in the committing offences; information and telecommunication networks, including the Internet; and the use of artificial intelligence technologies in committing offences. Methods. The methods of formal logic, system-structural analysis are applied in the research, the main attention is paid to the analysis of materials of judicial practice. Results. The author concludes that the use of information technology should lead to stricter liability in cases where it significantly simplifies crime committing, leads to an increased number of recipients of destructive information or illicit goods and substances, and has the potential to raise the number of offences committed. Based on the results of the research, the author formulates specific proposals to improve criminal legislation in the field of intellectual property. The author proposes to include in separate articles on offences against intellectual property the qualifying feature “an act committed with the use of information and telecommunication networks, including the Internet, or with the use of artificial intelligence systems”.

Prospects for the use of artificial intelligence in civil justice

The article discusses the general prospects for the use of artificial intelligence technology in civil proceedings as a main and auxiliary tool at the current stage of the development of this technology. The main approaches to defining the concept of artificial intelligence were studied and its classification into weak, strong and superintelligence was characterized. It is emphasized that justice is usually administered by professional judges, as high demands are placed on their legal knowledge and life experience. It is argued that equal replacement of a judge in civil proceedings with artificial intelligence technology is currently impossible. The reasons for the impossibility of such a replacement are analyzed, namely the complexity and multifacetedness of controversial private-law relations, the impossibility of taking into account moral and ethical aspects, the need for flexibility in decision-making, the problem of the nature of the initial algorithms of artificial intelligence, the transparency (motivation) of decisions, the problem of determining the guilty party in court cases errors, data protection issue. It is noted that these reasons have a technological and legal basis. A critical assessment of the state’s conceptual approaches to the development of artificial intelligence in the field of justice is provided. The directions of the auxiliary application of artificial intelligence technologies in civil proceedings, which are reduced to the automation of routine tasks, processing and analysis of large volumes of data and evidence, and increasing the accessibility of justice, are considered. It has been proven that the use of artificial intelligence technology provides better opportunities for the participants in the judicial process to realize their rights and obligations, including the processing of large amounts of information. The importance of ensuring a high level of information protection when using artificial intelligence during the administration of justice in civil cases is emphasized. The need for regulatory regulation of the use of artificial intelligence technology in civil proceedings in combination with other spheres of public administration and branches of law is substantiated. It is indicated that the wider application of artificial intelligence in civil proceedings will require new technological solutions and revision of the legal foundations of the judicial branch of government.

The relationship between personal and professional goals and emotional state in academia: a study on unethical use of artificial intelligence.

Artificial Intelligence (AI) is a concept that has been a subfield of computer science since the 1950s. In recent years, with its growing development power, AI technologies have made significant progress and are now being used in many fields. Like in all areas, the use of AI technologies in academia has provided convenience to academics while also bringing ethical debates. In the literature part of the study, concepts such as AI, academia, academics and academic progress, ethics, ethical theories, academic ethics, and emotional states have been thoroughly examined and defined. In this study, starting from AI and scientific ethics, ethical issues arising from emotional states in academic research have been identified, and concrete solutions to these ethical issues have been proposed. The aim is to discuss the views of academics in order to determine what types of scientific ethical violations and prevention methods are involved. In this context, the semi-structured interview technique, which is one of the qualitative research methods, was preferred as the method. In the study, in-depth semi-structured interviews were conducted with 4 ethics experts and 4 psychology experts selected through snowball sampling technique. The data obtained through semi-structured in-depth interviews will be analyzed using content analysis. Within the context of the literature review and interviews: Ethics is based on the foundation of acting correctly. In this context, scientific ethics can be summarized as acting truthfully and honestly, not distorting data, and not trying to progress unfairly. The use of AI in academia is becoming increasingly widespread. From a positive perspective, this usage significantly contributes to making studies more practical. However, it can lead to problems such as unfair authorship, devaluation of human authorship, and incorrect data. The connection between academics' professional advancement goals and emotional states becomes prominent in this context. The potential of AI to facilitate progression can lead to unethical use. To prevent such situations, it is recommended to organize training sessions to increase professional awareness, internalize ethics personally, establish ethical committees specific to the field of AI, conduct more effective audits by academic publication and promotion committees, and implement specific regulations for AI. Finally, for future academic studies, it is suggested that the usage of AI in academic research be measured and evaluated by ethics experts. For psychologists, conducting surveys with academics to explore how they use AI in the context of their emotional states and professional advancement goals is recommended.

Artificial intelligence performance in clinical neurology queries: the ChatGPT model

ABSTRACT Introduction The use of artificial intelligence technology is progressively expanding and advancing in the health and biomedical literature. Since its launch, ChatGPT has rapidly gained popularity and become one of the fastest-growing artificial intelligence applications in history. This study evaluated the accuracy and comprehensiveness of ChatGPT-generated responses to medical queries in clinical neurology. Methods We directed 216 questions from different subspecialties to ChatGPT. The questions were classified into three categories: multiple-choice, descriptive, and binary (yes/no answers). Each question in all categories was subjectively rated as easy, medium, or hard according to its difficulty level. Questions that also tested for intuitive clinical thinking and reasoning ability were evaluated in a separate category. Results ChatGPT correctly answered 141 questions (65.3%). No significant difference was detected in the accuracy and comprehensiveness scale scores or correct answer rates in comparisons made according to the question style or difficulty level. However, a comparative analysis assessing question characteristics revealed significantly lower accuracy and comprehensiveness scale scores and correct answer rates for questions based on interpretations that required critical thinking (p = 0.007, 0.007, and 0.001, respectively). Conclusion ChatGPT had a moderate overall performance in clinical neurology and demonstrated inadequate performance in answering questions that required interpretation and critical thinking. It also displayed limited performance in specific subspecialties. It is essential to acknowledge the limitations of artificial intelligence and diligently verify medical information produced by such models using reliable sources.

Introduction of Artificial Intelligence Technologies in Russian Economy: A Practitioner’s View

The article presents the results of a generalization of the practical activities of companies developing and/or implementing artificial intelligence technologies (hereinafter referred to as AI), as well as companies that use these technologies: what scenarios for the use of AI technologies exist and in which industries, what kind of problems organizations implementing AI face, how members of the expert community of the artificial intelligence sphere consider solving these issues and what the state bodies offer. As to the state’s policy regarding the development of artificial intelligence, the article contains information about the factors built in the updated national AI development strategy, reflects the relations between AI technologies and state sovereignty, demonstrates the impact of artificial intelligence on the competitiveness of a company and human creativity. The article also presents the main instructions of the government of the Russian Federation on the development of artificial intelligence, some statistical data on the use of AI in economic and social sectors. It identifies measures to support developers and “implementers” of AI technologies offered by development institutions within the framework of the federal project “Artificial Intelligence” as a part of the national program “Digital Economy of the Russian Federation”. Much attention is paid to the issue of human resourcing in the AI sphere – what kind of specialists companies need, what their level of training should be and what they should be able to do, what requirements are imposed on AI teachers, what leading companies ask applicants for interviews and what the trajectory of “growing” talents in the field of artificial intelligence is. The final part of the article provides recommendations to students on how to prepare for the widespread use of artificial intelligence technologies.

Investigating the politics and content of US State artificial intelligence legislation

Abstract The rapid emergence of artificial intelligence (AI) technology and its application by businesses has created a potential need for governmental regulation. While the federal government of the United States has largely sidestepped the issue of crafting law dictating limitations and expectations regarding the use of AI technology, US state legislatures have begun to take the lead in this area. Nonetheless, we know very little about how state legislatures have approached the design, pursuit, and adoption of AI policy and whether traditional political fault lines have manifested themselves in the AI issue area. Here, we gather data on the state-level adoption of AI policy, as well as roll call voting on AI bills (classified on the basis of consumer protection versus economic development), by state legislatures and analyze the political economy of AI legislation. We find that rising unemployment and inflation are negatively associated with a state’s AI policymaking. With respect to individual legislator support, we find that liberal lawmakers and Democrats are more likely to support bills establishing consumer protection requirements on AI usage. The results suggest that economic concerns loom large with AI and that traditional political fault lines may be establishing themselves in this area.

The Impact of Artificial Intelligence (AI) on mobile App Development

Artificial Intelligence (AI) has revolutionized the landscape of mobile app development, bringing about transformative changes in functionality, user experience, and capabilities. This paper aims to explore and analyze the impact of AI on mobile app development, highlighting its significant contributions and potential implications. The integration of AI technologies such as machine learning, natural language processing, and computer vision has empowered mobile applications to offer personalized experiences, enhanced decision-making capabilities, and predictive functionalities. AI-driven algorithms enable apps to analyze vast amounts of data, allowing for real-time insights and intelligent responses, thereby optimizing user engagement and satisfaction. Moreover, AI has facilitated the development of innovative features like voice assistants, recommendation systems, and augmented reality experiences, fostering a more intuitive and interactive user interface. These advancements have not only enriched the user experience but also opened new avenues for businesses to better understand their users and tailor services accordingly. However, with these advancements come challenges, including privacy concerns, ethical considerations, and the need for robust security measures to safeguard sensitive user data. As AI-powered mobile apps become more prevalent, it is imperative to address these challenges to ensure responsible and ethical use of AI technologies. This paper examines the evolution of AI in mobile app development, evaluates its impact on user experience and functionality, discusses the challenges and ethical considerations, and provides insights into the future trends and opportunities that AI presents in shaping the landscape of mobile app development. Understanding the profound impact of AI on mobile app development is crucial for developers, businesses, and stakeholders to harness its full potential while navigating the associated challenges responsibly.

The Application of AI and Computer Science in the Context of International Law and Governance “Opportunities and Challenges”

Purpose: The purpose of "Governing Artificial Intelligence: Ethical, Legal, and Technical Opportunities and Challenges" is to examine the impact of artificial intelligence (AI) on various societal aspects and to underscore its potential benefits for human rights, social welfare, and economic growth. The essay emphasizes the necessity of regulating AI systems in a fair, transparent, and responsible manner, especially in high-risk sectors.
 Materials and Methods: Research Design: The essay employs a literature review and analysis approach to explore the ethical, legal, and technical challenges associated with governing AI.
 Method of Data Collection: Data collection primarily involves gathering information from existing literature, reports, and expert opinions. Analysis and Presentation: The data is analyzed qualitatively to provide insights into the complexities of AI governance. The findings are presented systematically to address different dimensions of the topic.
 Findings: The essay presents a comprehensive analysis of the ethical, legal-regulatory, and technological challenges in governing AI. It highlights the need for robust governance frameworks to ensure the responsible development and deployment of AI systems.
 Implication to Theory, Practice, and Policy: The study is informed by various theories on ethics, governance, and technology. Validation of these theories is achieved through a critical examination of existing literature and empirical evidence. Practitioners are recommended to adopt principles of fairness, transparency, and accountability in the development and deployment of AI systems. Additionally, continuous monitoring and evaluation mechanisms should be established to ensure compliance with ethical standards. Policymakers are encouraged to enact regulations that promote the ethical and responsible use of AI technologies. This includes establishing clear guidelines for AI development, deployment, and accountability mechanisms to address potential risks and ensure societal well-being.

Artificial intelligence and higher education - enemies or allies

The development of artificial intelligence (AI) has become one of the most discussed topics in 2023. According to sociological surveys, the awareness of Russians in the field of AI and their willingness to use new technologies have grown. The leap in the development of neural networks, chatbots and AI technologies in general has already affected many areas of life, and the education system is no exception. Teachers face many challenges related to the regulation of the AI application in the educational process. On the one hand, issues of regulating the use of AI technologies in universities require a scrupulous study which is complicated by the speed of technological development. On the other hand, in addition to official regulations, it is necessary to solve more global and labor-intensive tasks: to unlock the potential of AI in the educational process; analyze the ethical side of the issue and develop the culture of using new technologies; adapt educational materials and assignments based on the possible application of AI by students; change curricula and revise the competency system, etc. The article considers ways to use AI technologies in the educational process as perceived by teachers and students. The author emphasizes both constructive and destructive capabilities of new technologies, the challenges that universities will face in the near future, and the positions of university representatives on these issues. The author believes that the use of AI technologies in education can benefit both teachers and students in sociology and other areas. It is impossible to stop the development of technologies; any attempts to hinder them are counterproductive; therefore, it is necessary to reconsider the established educational approaches according to the requirements of our time.

Treatment of refinery wastewater: Current status and prospects

The continuous increase in petroleum refining wastewater production poses a significant challenge to protecting the water environment. The comprehensive review of petroleum refining wastewater treatment processes, particularly on the cutting-edge treatment technologies, treatment efficiency, and pollutant degradation mechanisms, must be provided. This article offers such a review for filling up the literature gap. The current technologies, including the traditional pre-treatments, primary, secondary, and tertiary treatments, the combined treatments, and the wetland treatment processes, were discussed in detail. The challenges encountered in current practice, with the future research needs to overcome the challenges, were then outlined. The emerging research trend including the use of artificial intelligence technology for enhancing the petroleum refining wastewater treatment performance was also highlighted.

Theoretical and Methodological Approaches to Studying Artificial Intelligence in the Context of International Relations and International Law

This article addresses one of the pressing issues regarding the role of artificial intelligence (AI) in international relations and international law. The research question revolves around defining the theoretical and methodological approaches applicable to the strategic analysis of AI utilization in these fields. In the contemporary world, there is a demand at both interstate and societal levels to define the role of AI in the political and legal spheres. This is because AI development affects crucial areas of state relations such as security, international law, ethical norms, and dependencies. The prospective use of AI technologies without corresponding legal regulation may disrupt the already fragile balance of the world order, which could be exacerbated by state competition in AI technologies and AI applications in the military domain, a grey area in international law. Analyzing this issue from the perspective of international relations and international law theory allows for examining AI's impact on state interactions and developing new application strategies. Similarly, it helps understand how international law regulates state relations, including aspects related to AI applications. By examining various theoretical concepts and methodological approaches necessary for understanding AI's impact on global affairs, including its influence on diplomacy, security, and governance structures, as well as legal and ethical issues, this article contributes to Kazakhstan's evolving discourse on AI governance and its implications for state actors.

Explore the Factors and Influences of the Frequency of Use of Artificial Intelligence Technology in Entertainment Software

Explore the Factors and Influences of the Frequency of Use of Artificial Intelligence Technology in Entertainment Software