Artificial Intelligence Revolution Research Articles

Cultural Change of Mathematics Teachers' Views on Technology: Navigating the Artificial Intelligence Revolution

The development of technology related to Artificial Intelligence is growing rapidly, and one of its implications is the teaching of mathematics in the classroom. Therefore, it is necessary to conduct research on the perspective of mathematics teachers in addressing the development of artificial intelligence (AI) used in mathematics learning. This study examines the role of AI technology in facilitating pedagogical reform in mathematics education from the perspective of teachers. Through a questionnaire distributed to mathematics teachers, this paper identifies teachers' perspectives on the development of AI and its use in their classrooms. A total of 56 mathematics teachers participated in this study. In addition to the five-item questionnaire, an open-ended questionnaire was also provided. A number of AI that teachers use in their teaching are also mentioned in this paper. The paper also discusses the challenges that mathematics teachers face when using AI in mathematics lesson planning in their classrooms. It concludes that mathematics learning using AI has significant potential to improve students' competencies by equipping them with essential skills for the digital age

Navigating Industry 4.0: Exploring the Impact of AI on Employment & Jobs in India

The advent of Industry 4.0, characterized by the integration of cutting-edge technologies, has ushered in a transformative era for global economies. In India, a nation renowned for its diverse labor force and burgeoning technology sector, the rapid proliferation of Artificial Intelligence (AI) technologies is reshaping the employment landscape. This research paper aims to comprehensively investigate the multifaceted impact of AI on employment and jobs in India. Through a meticulous analysis of existing literature, this study ascertains the current state of AI adoption in Indian industries and identifies the sectors most vulnerable to AI-induced disruptions. It also scrutinizes the various dimensions of AI's influence on employment, including the creation of new job categories, augmentation of existing roles, and potential job displacement. Furthermore, the study delves into the factors influencing the pace and scale of AI adoption, such as regulatory frameworks, infrastructure, and educational preparedness. To provide a holistic perspective, secondary data encompassing a diverse range of industries and geographical regions within India has been reviewed. This empirical research facilitates an in-depth understanding of the attitudes, challenges, and opportunities employers and employees encounter amidst the AI revolution. In addition, this research evaluates the role of government policies and initiatives in mitigating the negative consequences of AI disruption, including workforce upskilling and reskilling programs. Furthermore, it explores the potential for AI to drive economic growth and job creation through innovation and productivity gains. The findings of this study contribute to a nuanced comprehension of the AI-driven transformation of India's job market, offering insights that are invaluable to policymakers, business leaders, educators, and workers alike. Ultimately, this research seeks to guide India's journey through Industry 4.0 by elucidating the strategies needed to harness AI's potential as a force for economic progress while addressing the challenges it poses to employment stability and societal well-being. Keywords Industry 4.0, Artificial Intelligence (AI), Job displacement, Educational preparedness, AI revolution, Workforce upskilling, Reskilling Programs, Economic Growth, Job Creation, Innovation, Productivity Gains, AI-Driven Transformation, Economic Progress, Employment Stability, Societal Well-Being.

The Emerging Industrial Revolution and the Future of the Accountant in Nigeria

The study was inspired by the concern for the next industrial revolution of artificial general intelligence with respect to the career of the accountant, given the continuous and increasing automation of the accounting process and systems in the current industrial revolution. Consequently, the study adopted an ex-post facto design to fathom the career fortune of the human accountant in the emerging industrial era of artificial general intelligence, using ten years personnel cost and net assets data, from the annual accounts and reports of the 7 deposits money banks in Nigeria that had international authorization, as at 31st December, 2022. Linear regression analysis results from SPSS 20.0 disclosed that the effect of the deployment of artificial intelligence on the career of the accountant in the current industrial era is statistically low and insignificant. Accordingly, the study predictively concludes that the technological agenda of the emerging industrial revolution will not impair the job fortune of the accountant. However, the study recommends that accounting practitioners should proactively develop themselves with relevant soft skills, and deep learning, python and big data programmes in readiness for effective machine collaboration and synthesis, in the emerging industrial era.

The Impact of Artificial Intelligence on Accounting and Finance in the Digital Economy

The artificial intelligence(AI) revolution and its impact on accounting and financial activities are positively evaluated; The focus is on new skills and capabilities needed by employees. It is concluded that artificial intelligence has the potential to transform the economy in many ways, but there are also significant threats and risks in terms of job displacement, inequality and international competition. AI's full potential will only be realized when policymakers, industry leaders, and the society will work together to create an ethical and fair framework for the development and use of AI. With such interdisciplinary collaborations and approaches (sharing the experiences of economists, technologists, ethicists and policy makers), it is possible that artificial intelligence will bring great benefits to everyone and significantly improve economic growth, development and prosperity. Keywords: Artificial Intelligence(AI), accounting, consulting services, digital environment and economy.

From analytics to empathy and creativity: Charting the AI revolution in marketing practice and education

The rapid advancement of artificial intelligence (AI) increasingly demands an understanding of its impact on marketing practice and education. Our hybrid literature review synthesizes 312 peer-reviewed articles on AI in marketing and consumer behavior, using scientometrics and the TCCM (Theory, Context, Characteristics, Methodology) framework. We identify five research areas: human–AI interaction in services, natural language processing (NLP) and computer vision for consumer insights, AI for e-commerce and decision support, marketing automation and creativity, and AI ethics. AI’s evolution is marked by a transition from analytical to empathetic and intuitive technologies like affective computing and generative AI. We highlight the changing dynamics between humans and AI, AI integration in marketing practices and education, and the transformed AI-enhanced marketing workplace. We underscore the significance of ethical considerations, the well-being of users, and the integration of generative AI tools. This review provides a comprehensive guide for forthcoming research, practical applications, and educational advancements in AI-enhanced marketing.

Artificial Intelligence in Governance: Opportunities, Challenges, and Ethical Implications for Public Administration

The integration of Artificial Intelligence (AI) in the public sector presents both unprecedented opportunities and significant challenges for governments worldwide. This article examines the multifaceted impact of AI on public administration, exploring its applications in service delivery, urban planning, public safety, and administrative efficiency. While AI offers substantial benefits, including enhanced decision-making, cost savings, and improved citizen services, it also raises critical concerns regarding bias, privacy, accountability, and workforce displacement. This article provides a comprehensive analysis of the ethical considerations surrounding AI deployment in governance, emphasizing the need for transparency, inclusivity, and human oversight. By critically evaluating both the promises and perils of AI in public sector operations, this article contributes to the ongoing discourse on responsible AI adoption in government. The findings underscore the importance of developing robust governance frameworks that can harness AI's potential while safeguarding citizens' rights and ensuring equitable service delivery. As governments navigate the AI revolution, this article offers insights into strategies for balancing technological advancement with ethical governance, paving the way for a more efficient, fair, and responsive public sector.

Examining the ethical and sustainability challenges of legal education’s AI revolution

ABSTRACT Two of the forces that have most shaped the landscape in higher education over the last few years have been sustainability on one hand and Artificial Intelligence (AI) on the other. Bringing these phenomena together, this article examines the multifaceted sustainability challenges posed by integrating AI into legal education. The integration of AI into legal education has promised to revolutionise the field, offering unprecedented opportunities for efficiency and innovation. However, this transformative shift is accompanied by ethical and sustainability challenges. This article explores important sustainability issues arising from AI adoption in legal education, emphasising equity, ethics and the long-term viability of AI-driven initiatives. Strategies to promote fairness, inclusivity and ethical AI practices are explored, alongside resource allocation schemes, digital divide mitigation and sustainable faculty training programmes. Ethical considerations are examined, focusing on AI biases and policies for promoting equity and inclusion. This article also discusses the challenge of regulatory compliance in an evolving AI landscape. The intersection of AI adoption, sustainability ethics and legal education necessitates a conscientious integration of sustainability principles to navigate ethical dilemmas responsibly. By addressing these challenges, legal education can lead the way in shaping a future where AI serves as a valuable tool.

AI-Driven DRC Routing Convergence in IC Design : A Paradigm Shift in Semiconductor Development

This article explores the transformative impact of Artificial Intelligence (AI) on Integrated Circuit (IC) design, particularly in Design Rule Checking (DRC) and routing convergence. As semiconductor technology advances to smaller nodes, traditional design methodologies struggle with increasing complexity, time-to-market pressures, and stringent manufacturing constraints. Integrating AI-driven approaches offers promising solutions, dramatically reducing design cycles, improving yield, and enabling continued scaling. The article discusses the challenges of modern IC design, the critical role of DRC, and the AI revolution in routing optimization. It examines the benefits of AI-driven DRC routing convergence, including reduced time-to-market, improved design quality, cost reduction, enhanced scalability, and adaptability to new processes. Finally, it addresses current challenges and future research directions in this rapidly evolving field.

Navigating IT Careers in the Age of AI : Human Skills in an Automated Future

This article investigates the current state of AI (Artificial Intelligence), its market, and the potential impacts of AI on future jobs. The AI revolution is not only transforming the labour market across the world but also augmenting business processes and procedures in various areas. We explore the evolving relationship between human workers and AI systems in IT by analysing current trends, industry reports, and expert predictions. Nature and Extent of jobs that are likely to be affected by Automation are also a part of the study. The article offers insights into the ever-changing nature of IT roles, identifies critical skills for future success, and presents recommendations for professionals seeking to thrive in an AI-augmented work environment.

Insights for Managers About AI Adoption in New Product Development

OVERVIEW: The artificial intelligence (AI) revolution in new product development (NPD) has reached a critical juncture, demanding decisive action from business leaders. Our comprehensive study of key AI applications in NPD reveals a startling lack of adoption across industries, particularly in the United States. Despite the potential benefits, businesses also demonstrate weak intentions to adopt AI and low readiness regarding AI integration into NPD processes. Despite the low adoption rate, the study’s results offer a compelling picture of AI’s potential, including substantial positive impacts of AI use in key areas like product design, prototyping, testing, digital twin simulations, market analysis, and new product ideation. Benefits include accelerated development and markedly improved decision-making.

Unlocking Sustainable Growth: The Role of Artificial Intelligence Adoption in Jordan Retail Sector, Moderated by Entrepreneurial Orientation

Although businesses are under pressure to consistently improve both their capacities and business processes, the artificial intelligence (AI) revolution is seen as an appealing company approach that has attracted attention. By offering improved company structures, the application of AI technology has the potential to significantly alter company procedures while also lessening the impact of outside catastrophes. Additionally, using AI can enhance the socioeconomic circumstances of a particular area and have a positive impact on the social worth and economic sustainability of businesses. Few studies have been conducted recently on the use of AI to support businesses at various stages of development and sustainability. In addition, there isn’t much research that shows that the retail sector can benefit from the use of various modern AI technologies. To bridge this gap, this investigation looks into the moderating effect of entrepreneurial orientation. A theoretical framework was established using the assistance of the resource-based view (RBV) and dynamic capability view (DCV) assumptions, in addition to a survey of the available literature. The PLS-SEM method was used in this paper and got 311 respondents from Amman, Jordon retail sector. The findings show that the industry needs to make strategies for social justice and economically favorable approaches that have a beneficial impact by adopting AI approaches. This paper also shows that EA has a moderate impact on performance connections within the industry.

AI Revolution: How Malaysian Firms are Redefining Accounting Performance

Artificial Intelligence (AI) is the primary force behind the organization's continued sustainability and competitiveness. The rise of AI software, cloud computing-based software and blockchain apps and services, together with the use of accounting information outcomes indicate that computerized accounting has become available to accountants. Even if there are great hopes for the application of AI in the accounting industry, numerous nations with little infrastructure are still lagging in using this type of technology. 88.89% of the 80 questionnaires that were initially issued were returned within a week. As a result, of the 80 questionnaires issued, 75 responses were received in one week, yielding a response return rate of 93.75 percent. Managerial and non-managerial staff members from American Express (Malaysia) Sdn. Bhd, Selangor, Malaysia were chosen as research participants. By employing a sample random sampling approach, a total of 75 legitimate surveys were gathered. The results of the study have shown a positive strong relationship between the level of readiness (AI Software, Cloud technology and Blockchain) and level of adoption (AI Software, Cloud technology and Blockchain) in the accounting industry toward employees’ job efficiency. All eight hypotheses (H1 to H8) showed a significant relationship and were all accepted. The outcome of the moderating effect between working tenure and level of readiness presents a direct impact. However, the level of adoption shows an indirect impact on job efficiency whereas job efficiency shows a direct impact.

AI trust divide: How recruiter-candidate roles shape tourism personnel decision-making

The artificial intelligence revolution has prompted tourism organizations to consider whether and how to use AI to improve efficiency and create value, particularly in areas such as personnel selection. Through five experimental studies (N = 2199), this paper first reveals that a trust divide exists between job candidates and recruiters in travel agencies. We then investigate how the consideration focus of personnel attributes mediates the impact of roles on trust through thought-listing (Study 1), mediation-by-moderation (Studies 2a & 2b), and self-reported measures (Study 3). To mitigate this misalignment, we examine the AI–human assemblage design and offer an optimal way to bridge the trust divide (Study 4). The current research extends motivated reasoning theory and provides novel insights into practice.

Sztuczna inteligencja. Konteksty i interpretacje

Artificial intelligence (AI) has been developing dynamically, and becomes a core issue in the public debate. The related contemporary achievements, such as generative language models, change the way we work, especially in creative fields. The article analyses the historical development of AI, from the Dartmouth workshops in 1956, through John McCarthy’s and Alan Turing’s symbolic approach to artificial intelligence, to the effect of cybernetics on contemporary technologies. It draws attention to Richard Dreyfuss’ and John Searle’s critique of AI, emphasising their meaning in redefining the differences between human and artificial intelligence. In the context of the AI revolution, the article poses a question about the future of design and technology, considering if the process of human adaptation keeps up with the development of machines. It also refers to ethical aspects of automation, and the growing importance of creative thinking in the face of technological progress. Keywords: artificial intelligence (AI), cybernetics, philosophy, history, design

Where Theory and Practice Converge: Community-Based Learning as a Pedagogical Approach for Teaching AI Ethics

As artificial intelligence (AI) technologies continue to inundate the current information landscape, questions surrounding the ethics of AI and its responsible use in teaching and learning remain firmly on the forefront of the pedagogical discourse in the LIS field. Indeed, one implication of the ongoing AI revolution for LIS education that has become evident from these conversations is the pressing need to develop an ethical instructional framework that would enable students and educators alike to successfully navigate the rapidly evolving generative AI universe. This poster discusses the effectiveness of several pedagogical approaches that are currently being implemented to help students identify and address the ethical challenges associated with these technologies across a wide range of graduate level LIS courses, spanning such key areas of the professional practice as library and information center management, academic librarianship, and community-engaged librarianship. The common denominator in these courses is an emphasis on community-based learning that constitutes the core of complex sequential semester-long course projects students are asked to complete by designing and performing various community outreach, observational, and analytical exercises in an information organization of their choice. Based on the data collected from the above-mentioned courses during the past four semesters, the presenter demonstrates the value of the community-based learning component present in these activities for developing in LIS students a higher level of critical thinking about AI-related ethical dilemmas, all the while preparing soon-to-be information professionals for real-world applications of ethical considerations in their current and future professional roles.

Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000–2023)

Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, adopting AI technologies extensively to transform consumer interactions, supply chain management, and business performance. Given its early adoption of AI, the retail industry serves as an essential case context for investigating the broader implications of AI for consumer behavior. Drawing on 404 articles published between 2000 and 2023, this study presents a comprehensive bibliometric and content analysis of AI applications in retail marketing. The analysis used VOSviewer (1.6.20.0 version) and Bibliometrix (version 4.3.1) to identify important contributors, top institutions, and key publication sources. Co-occurrence keyword and co-citation analyses were used to map intellectual networks and highlight emerging themes. Additionally, a focused content analysis of 50 recent articles was selected based on their relevance, timeliness, and citation influence. It revealed six primary research streams: (1) consumer behavior, (2) AI in retail marketing, (3) business performance, (4) sustainability, (5) supply chain management, and (6) trust. These streams were categorized through thematic relevance and theoretical significance, emphasizing AI’s impact on the retail sector. The contributions of this study are twofold. Theoretically, it integrates existing research on AI in retail marketing and outlines future research in areas such as AI’s role in the domain of consumer behavior. From an empirical standpoint, the study highlights how AI can be applied to enhance customer experiences and improve business operations.

The artificial intelligence revolution...in unethical publishing: Will AI worsen our dysfunctional publishing system?

Scholarly publishing has been shaped by the pressure of a liquid economy to become an exercise in branding more than a vehicle for the advancement of science. The current revolution in artificial intelligence (AI) is poised to make matters worse. The new generation of large language models (LLMs) have shown impressive capabilities in text generation and are already being used to write papers, grants, peer review reports, code for analyses, and even perform literature reviews. Although these models can be used in positive ways, the metrics and pressures of academia, along with our dysfunctional publishing system, stimulate their indiscriminate and uncritical use to speed up research outputs. Thus, LLMs are likely to amplify the worst incentives of academia, greatly increasing the volume of scientific literature while diluting its quality. At present, no effective solutions are evident to overcome this grim scenario, and nothing short of a cultural revolution within academia will be needed to realign the practice of science with its traditional ideal of a rigorous search for truth.

Attitude Towards AI: Potential Influence of Conspiracy Belief, XAI Experience and Locus of Control

The proliferation of Artificial Intelligence (AI) technologies, exemplified by Large Language Models (LLM), has ushered in a transformative era across various fields. As the AI revolution will impact societies in complex and uncertain ways, it is likely that persons tending towards belief of conspiracy theories also tend to form more negative and less positive attitudes towards AI. Such persons might believe that some evil force will use AI to destroy human mankind. Drawing on the Interplay of Modality, Person, Area, Country/Culture, and Transparency categories (IMPACT) framework, this study aims to investigate the interplay of locus of control (LOC), belief in conspiracy theories, and the perception of the importance and availability of eXplainable AI (XAI) on attitudes towards AI (measured via AI acceptance and fear). The study used an online survey with 281 participants from the UK and 281 from the Arab world. Statistical analysis revealed that in the UK but not in the Arab sample, female participants reported higher fear of AI and lower acceptance of AI compared to males. The regression results consistently confirmed the role of internal LOC, perceived XAI importance, and perceived availability of XAI in fostering AI acceptance, as well as the role of belief in conspiracy theories, external LOC, and perceiving availability of XAI as being low in increasing fear of AI. The perceived availability of XAI emerges as a crucial influencing factor; addressing it appropriately could enhance societal awareness and acceptance of AI while reducing fear. Personal factors and XAI influence attitudes towards AI in both Arab and UK cultures, enhancing result robustness and revealing nuanced differences.

The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review.

With the ongoing revolution of artificial intelligence (AI) in medicine, the impact of AI in radiology is more pronounced than ever. An increasing number of technical and clinical AI-focused studies are published each day. As these tools inevitably affect patient care and physician practices, it is crucial that radiologists become more familiar with the leading strategies and underlying principles of AI. Multimodal AI models can combine both imaging and clinical metadata and are quickly becoming a popular approach that is being integrated into the medical ecosystem. This narrative review covers major concepts of multimodal AI through the lens of recent literature. We discuss emerging frameworks, including graph neural networks, which allow for explicit learning from non-Euclidean relationships, and transformers, which allow for parallel computation that scales, highlighting existing literature and advocating for a focus on emerging architectures. We also identify key pitfalls in current studies, including issues with taxonomy, data scarcity, and bias. By informing radiologists and biomedical AI experts about existing practices and challenges, we hope to guide the next wave of imaging-based multimodal AI research.

The Artificial Intelligence Revolution in Medicine: Generative Pretrained Transformer-4 and Beyond.

The Artificial Intelligence Revolution in Medicine: Generative Pretrained Transformer-4 and Beyond.