Influence Of Artificial Intelligence Research Articles

Responding to AI

The influence of artificial intelligence “has enormous implications for higher education” (Bearman, Ryan & Ajjawi, 2023, p. 369). Those of us teaching in the higher education sector have felt this profoundly: after the rapid uplift in digital teaching and learning practices in response to COVID 19 we are required, yet again, to respond to a new set of challenges brought about by the impact of AI. As an example, chatbot technology is calling into question the reliability of the traditional essay as a valid assessment tool (Stokel-Walker, 2022), requiring significant critical reflection and reevaluation of assessments from teaching academics to ensure course learning outcomes are met. This presentation outlines how a teaching specialist academic working in an initial teacher education (ITE) programme at a South Australian university carried out one such redesign. The focus of the re-design was a ‘unit/year plan’ assessment task for a final year curriculum specialization topic. The redesign aligned with the two guiding principles from TEQSA’s Assessment reform for the age of artificial intelligence (Lodge et al., 2023). The first of these guiding principles: ‘Assessment and learning experiences equip students to participate in a world where AI is ubiquitous’ (p. 2) points to the importance of educating students around AI use relevant to their learning. The second guiding principle: ‘Forming trustworthy judgements about student learning in a time of AI requires multiple, inclusive and contextualised approaches to assessment’ (p. 3) underscores the ongoing necessity for universities to have effective means by which to measure student learning outcomes, especially in accredited courses. The redesign of the assessment task both acknowledged the potential of AI for use in the professional space, and simultaneously sought to ensure assessment validity through the inclusion of an interview with the pre-service teachers. Overall, the redesign of the assessment task incorporated three components. Firstly, a brief introductory module about discipline-specific uses of AI was incorporated into the online course content. Secondly, pre-service teachers were ‘permitted’ to utilise available AI platforms in the creation of their planning task. Thirdly, the assessment process was adapted to include an oral presentation (Gulikers, Bastiaens & Kirschner, 2004) conducted as a panel interview in which each pre-service teacher could provide evidence of the pedagogical perspectives underpinning their plan and subsequently demonstrate the successful achievement of topic learning outcomes. The purpose of the panel interview was to assist assessors in forming a judgement about pre-service teachers’ pedagogical understanding and application, in line with relevant criteria from Matheis and John’s Comprehensive Authentic Assessment Model (CAAM) (Matheis & John, 2024). Autoethnographic reflections on the first delivery of the redesigned assessment are provided, including alternative approaches for future iterations. The learnings from the teaching initiative outlined in this presentation contribute to the growing discussion about how we can develop the capacity of our pre-service teachers as skilled and critical practitioners who can utilize AI as a valuable tool for their ongoing professional practice.

Beyond the Resource Curse: Leveraging Artificial Intelligence to Enhance Green Development Welfare

This study examines the relationship between the resource curse (RC) and green development welfare (GDW) through the influence of artificial intelligence (AI) on emerging technologies. We explore the critical question: How does resource abundance hinder green development, and how can AI mitigate this effect? Our examination of 15 years of panel data from 282 Chinese cities demonstrates a significant negative correlation: a 1% increase in RC correlates with a 0.422% reduction in GDW. AI appears as a crucial factor capable of counteracting the detrimental impact of RC, indicating that technological innovation is essential for promoting sustainable development. This study's distinctive contribution is the incorporation of AI into the GDW framework, providing novel insights into the varying impacts of RC across different levels of GDW. By differentiating resource abundance (RA) from resource dependence (RG), we illustrate that both RA and RG substantially impede GDW, with the negative effects amplifying at higher GDW levels. We discover that AI can overcome the limitations imposed by RC by reducing terms-of-trade fluctuations, mitigating Dutch disease effects, and diminishing crowding-out effects. Our research underscores the importance of AI in alleviating the adverse impacts of RC on GDW and recommends augmenting investment in AI research and application, especially in resource-rich cities, to advance sustainable development.

Reconceptualizing Constitutionalism in the AI Run Algorithmic Society

Abstract This Article is dedicated to what is arguably one of the most significant tests to which constitutionalism has been subject to in recent times. It examines the theoretical and practical challenges to constitutionalism arising from the profound technological changes under the influence of artificial intelligence (AI) in our emerging algorithmic society. The unprecedented rapid development of AI technology has not only rendered conventional theories of modern constitutionalism obsolete, but it has also created an epistemic gap in constitutional theory. As a result, there is a clear need for a new, compelling constitutional theory that adequately accounts for the scale of technological change by accurately capturing it, engaging with it, and ultimately, responding to it in a conceptually and normatively convincing way.

The Influence of Artificial Intelligence on the Education System

The rapid development of artificial intelligence has had a huge and far-reaching impact on the field of education. The deep integration of artificial intelligence and education has promoted the emergence and development of artificial intelligence educational applications. Today's AI is not only a tool to enhance the learning experience, but also an important promoter of changing traditional teaching models and educational management methods. This article explores the acceptance and views of AI in different cultural backgrounds, and deeply analyzes the ethical issues that may arise in the application of AI in education, such as academic misconduct, algorithmic bias, and data privacy protection. Studies have shown that AI can help improve the personalization and efficiency of education, but its widespread use may cause students to rely on technology and weaken their critical thinking ability. In addition, if the bias in the algorithm is not effectively controlled, it may exacerbate inequality in education. The significance of the paper lies in providing theoretical support for the combination of AI and education, and putting forward constructive suggestions for balancing technological progress and human education elements in the future.

Dental admissions pilot activity: Applicants' writing exercise without artificial intelligence influence.

Dental admissions pilot activity: Applicants' writing exercise without artificial intelligence influence.

The Role of AI in Shaping Global Healthcare Cybersecurity Policies

This comprehensive article explores the transformative role of Artificial Intelligence (AI) in shaping global healthcare cybersecurity policies. It examines the rapid growth of the healthcare cybersecurity market and the increasing prevalence of cyber threats in the sector. The article delves into AI's influence on international regulations, cybersecurity standards, and global cooperation initiatives. It analyzes the geopolitical implications of AI-driven cybersecurity, including national strategies, technology transfer policies, and digital sovereignty concerns. The article also addresses key challenges and future directions, such as mitigating AI bias, preparing for quantum computing threats, and optimizing human-AI collaboration in cybersecurity. Through an in-depth examination of these critical issues, the article provides a holistic overview of AI's impact on the future of healthcare cybersecurity on a global scale.

Influence of artificial intelligence on modern book design

Influence of artificial intelligence on modern book design

Influence of Artificial Intelligence (AI) Tools on the Research Capabilities of College Students

Influence of Artificial Intelligence (AI) Tools on the Research Capabilities of College Students

The influence of artificial intelligence within health-related risk work: a critical framework and lines of empirical inquiry

In this editorial we highlight the need for empirical studies into the growing use of artificial intelligence (AI) technology in healthcare and social work settings, especially studies which are theoretically informed by critical social science studies of risk and uncertainty. In setting out the importance of interpretative and critical traditions for research into such AI-oriented forms of risk work, we propose three important conceptual lines of inquiry which empirical studies might follow. First, we sketch ways in which the enactment of AI in healthcare work may be changing how risk is handled amid professional decision-making, and creating new categories of patient/service-user. Patients may be evaluated as being at lower or higher risk depending, respectively, upon their engagement or non-engagement with AI-technologies. These questions of (non-)engagement lead us to consider, second, the trust and distrust dynamics around AI-technologies, exploring the potential inequalities that can emerge as a result of (non) engagement. We then consider drivers of this technological embrace in terms of hope and magical thinking in technological-imaginaries, connecting these cultural tendencies to broader structures of ideology and political-economic interests. We conclude this editorial with a plea to social scientists to be cautious to avoid both techno-optimistic narratives and alarmist warnings regarding the implications of artificial intelligence (AI). Instead, we argue that our focus should be a theoretically informed and detailed examining of how expectations (pertaining to risk, trust, and hope) materialise in practice, particularly in the daily experiences of those who develop and enact AI technologies in care settings.

Artificial intelligence and adolescents’ socialization: risks of influence

Importance. To date, there is an active introduction of artificial intelligence into all spheres of human activity, leading to significant changes in the factors that influence the socialization of the younger generation. Along with this, smart devices have also begun to act as agents of socialization for modern teenagers, with whom they interact both in educational and extracurricular settings. In this regard, the scientific and pedagogical community is interested in identifying both the positive and negative aspects of AI’s influence on the formation of the social experience of minors. The aim of the study is to examine the features and analyse the risks associated with the artificial intelligence impact on the adolescents’ socialisation.Research Methods. The work is based on a comprehensive review of psychological, pedagogical, legal, sociological, scientific, and technical literature on artificial intelligence the introduction in various fields of human activity, particularly in the education sector. The study is grounded in personal-activity, multi-subject, and environmental perspectives, which allowed for the synthesis and analysis of relevant information, as well as an assessment of the potential risks associated with the artificial intelligence influence on the positive socialization process of school students. Within these frameworks, several research methodologies are employed, including analysis, comparison, generalization, systematization, and structured information organization.Results and Discussion. The main areas of artificial intelligence application in education are: adaptive learning, automated assessment, examination management, personalized learning, customized educational materials creation, consultation and recommendation systems, gaming and virtual reality, extending the range of opportunities for students with special needs, and monitoring student engagement in learning. However, along with the potential benefits of introducing AI technologies into the adolescents’ cognitive development, there are several risks associated with the intelligent devices’ use: a potential decrease in the education quality, challenges with social skills and self-regulation development, value orientation, adaptation, and self-regulatory resources. Additionally, there is a risk of subjectivity loss, the formation of an unrealistic self-image, aggressive behavior, and the development of digital autism and information pseudoliteracy.Conclusion. Based on the analysis, it is revealed that the artificial intelligence influence on modern adolescents can be traced not only in changing the educational process of the school, which is a factor and institution of socialization, but also in the direct interaction between a minor and a smart device. At the same time, this process has both positive and negative aspects, the consideration and correction of which is necessary when introducing artificial intelligence into education and other spheres of human activity and society.

Impact of Supply Chain Agility and Collaboration on Supply Chain Performance: The Moderating Role of Artificial Intelligence

Supply chain resilience is not a novel concept in the supply chain industry; however, its significance importance is increasing, especially in the face of global disruptive events like natural and man-made disasters. Agility and collaboration are critical supply chain resilience elements for enhancing supply chain performance. However, the influence of artificial intelligence (AI) on the impact of agility and collaboration on performance remains unexplored. Therefore, the major objective of this study was to examine the impact of supply chain agility and collaboration on supply chain performance within the healthcare sector in Qatar. In the same vein, it examined the moderating role of AI in these relationships. The study utilized 564 responses from supply chain and clinical unit managers in Qatar and was analysed using the partial least squares (PLS) path modelling technique. The findings of the study indicate a significant positive relationship between supply chain agility, collaboration, and performance. Furthermore, these relationships are found to be positively moderated by AI. This study supports the research paradigm and provides evidence regarding supply chain agility and collaboration and their impact on supply chain performance. More importantly, this study is among the first to provide empirical evidence on the moderating role of AI in enhancing these relationships.

Influence of Artificial Intelligence on the Quality of Education in Higher Learning: A Case Study of Faculty of Education, University of Nairobi, Kenya

Influence of Artificial Intelligence on the Quality of Education in Higher Learning: A Case Study of Faculty of Education, University of Nairobi, Kenya

Contemporary education: globalization and transformation process under the influence of artificial intelligence

Contemporary education: globalization and transformation process under the influence of artificial intelligence

S889 Colon AI-scopy: Artificial Intelligence Influence on Detection and Removal of Non-Neoplastic Polyps, Diminutive Hyperplastic Polyps, and Sessile Serrated Polyps in Screening Colonoscopy

S889 Colon AI-scopy: Artificial Intelligence Influence on Detection and Removal of Non-Neoplastic Polyps, Diminutive Hyperplastic Polyps, and Sessile Serrated Polyps in Screening Colonoscopy

The Influence of Artificial Intelligence on Modern Marketing

This paper explores how Artificial Intelligence (AI) is reshaping the marketing landscape, using data primarily sourced from Statista. By analysing global trends up to March and July 2023, we aim to provide a clear understanding of AI's impact on marketing strategies and outcomes. We begin by examining the rapid growth of AI in marketing, including its market size, revenue, and the preferences of users worldwide. We also highlight the popularity of leading AI text tools among users, giving insights into their market dominance and adoption rates. In addition, we investigate the funding landscape for AI marketing-related startups, showcasing the industry's investment trends and innovation potential. Furthermore, we identify the most effective ways marketers are using AI and marketing automation, offering practical insights for professionals seeking to leverage these technologies. Our study also looks at where AI is being used in marketing, revealing the diverse applications that are shaping strategies globally. We delve into the tools and platforms driving AI integration in marketing and advertising, as well as the main tasks undertaken by professionals using generative AI. A key focus is on AI-assisted writing, where we outline how marketers are employing AI for content creation and its impact on efficacy. We also explore the perceived benefits of AI tools according to marketing professionals, providing actionable insights for decision-making. Lastly, we assess the effectiveness of chat-based search advertising, particularly among paid search marketers in the United States. Through a concise summary of our findings, this paper aims to offer a comprehensive view of AI's transformative role in marketing, providing practical insights for industry stakeholders navigating this evolving landscape. In conclusion, this research serves as a roadmap for marketers, entrepreneurs, and industry professionals, guiding them through the integration of AI technologies into marketing strategies and operations. By understanding the current trends and potential benefits of AI, stakeholders can adapt and thrive in an increasingly AI-driven marketing environment.

The Influence of Artificial Intelligence on the Automation of Processes in Electronic Commerce

This study explores the transformative impact of Artificial Intelligence (AI) on automating business processes in electronic commerce (e-commerce), with a focus on enhancing efficiency and customer experience. The research employs Deep Learning (DL) and Machine Learning (ML) as primary analytical tools to process and analyze data from e-commerce transaction records and customers’ browsing histories. Techniques such as data preprocessing, normalization, sentiment analysis, and advanced predictive models using Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Support Vector Machines (SVMs) are utilized. Data collection was conducted using web scraping tools like Beautiful Soup and Scrapy, along with APIs from Amazon and Google. The application of AI in e-commerce has led to significant improvements in inventory control, fraud prevention, and customer relations. ML algorithms have enhanced the estimation of product demand and personalized customer interactions, while DL has strengthened product recommendation systems and fraud detection mechanisms. The findings indicate that AI contributes to a more secure, faster, and smarter operational environment in e-commerce. This research highlights the substantial benefits and broad potential of AI in optimizing e-commerce operations, demonstrating that the integration of advanced AI technologies not only streamlines transactions but also reinforces platforms against fraudulent activities.

Does artificial intelligence affect the ecological footprint? –Evidence from 30 provinces in China

Artificial intelligence (AI) technology serves as a powerful tool to optimize energy efficiency and lessen ecological footprints. Using data from 30 provinces in China over the period from 2018 to 2022, this study investigates how regional AI development affects the per capita ecological footprint and explores the underlying mechanisms. The results show that: (1) Regional AI development can significantly decrease the ecological footprint, and this conclusion remains robust after a series of robustness checks. (2) Mediation effect analysis indicates that AI technology mainly decreases the ecological footprint by improving energy utilization efficiency. (3) The panel threshold model results show that AI's influence on the ecological footprint has a single energy efficiency threshold. Only when regional energy efficiency exceeds a certain threshold can AI fully exert its suppressive effect on the ecological footprint. (4) Regional heterogeneity analysis shows that the reduction effect of AI on the ecological footprint is more pronounced in the central and eastern regions of China. This paper helps clarify the specific impact of AI technology development on the ecological footprint and provides scientific evidence for regional technology development, energy efficiency improvement, and ecological environment policy formulation.

Investigating AI's Role in Enhancing Multi-Sensory Experiences in Public Spaces

This research paper investigated the integration of Artificial Intelligence (AI) in public spaces, focusing on enhancing multi-sensory experiences that augment psychological comfort and foster social interactions. AI's revolutionary application in public environments, from smart city initiatives to interactive art displays, transforms these spaces into dynamic, responsive environments that adapt to human needs and presence. This study examines how AI can significantly enhance the sensory richness of public spaces in Dubai, UAE, making them more engaging, accessible, and efficient. It reflects a profound understanding of user behaviors and needs. Employing a structured survey to investigate the public's views on AI's influence on city life, the expected outcomes included a deeper understanding of how immersive environments altered human multi-sensory experiences in Dubai public spaces. The paper highlights the importance of multi-sensory experiences in public spaces, where interactions through touch, sight, sound, and scent contribute to a sense of belonging, enhance well-being, and strengthen community bonds. It argues for a human-centric design that prioritizes multi-sensory engagement, offering insights into how AI integration can further enrich these experiences, making public spaces more adaptable and sensitive to users' requirements. The findings of this research will enrich the existing body of knowledge in the professional field of architecture and urban design. It will present practical insights for architects and designers to develop innovative spatial designs that promote the multi-sensory experience of the users in public spaces.

The influence of artificial intelligence on the manufacturing industry in South Africa

Background: The adoption of artificial intelligence (AI) in manufacturing has the potential to considerably improve productivity, efficiency and sustainability. Artificial intelligence aids with tasks such as data processing and process monitoring, process modelling and optimisation, live fault detection, and process quality assessment in manufacturing processes.Aim: This study sought to obtain a full understanding of the influence of AI on the South African manufacturing industry by exploring how AI technology is impacting productivity, reshaping the workforce, affecting quality control practices and optimising supply chain management among other issues.Setting: Data in this study were obtained from 23 qualitative research publications that address the influence of AI on the manufacturing industry in South Africa published on ScienceDirect, Scopus, Springer, Web of Science and Google Scholar.Method: Multiple correspondence analysis was utilised to analyse associations among quality, productivity, supply chain and workforce transformation in the presence of AI in the South African manufacturing industry.Results: The findings demonstrate a substantial association between the usage of AI and a range of performance measures, suggesting that those organisations embracing AI technology can benefit from greater productivity, quality control and supply chain management. Additionally, findings emphasised the necessity of workforce transformation because of AI adoption.Conclusion: The adoption of AI technology positively influenced the South African manufacturing industry, contributing to increased productivity and quality, and optimising the supply chain.Contribution: This study makes a valuable contribution to the existing body of knowledge as AI adoption in the manufacturing industry in developing countries is only emerging.

Assessing the AI Acumen: A study on the knowledge, attitude and behaviour of dental students towards artificial intelligence

The influence of Artificial Intelligence (AI) can be seen in every nook and corner of life. It has become an essential part of human life. Its influence in medical field is also noticeable but in certain aspects utilization of AI in dentistry has not been up to a great extent. This questionnaire-based survey was done to assess the knowledge, attitude and behaviour of dental students about AI. A self-administered closed ended questionnaire consisting of 36 questions was distributed among 3100 interns and post graduate students studying in different parts of Rajasthan. The questionnaire consisted of demographic details of respondents as well as fundamental KAP towards AI.Response rate was 90.32%. The results showed that about 56.75% of respondents had poor knowledge of AI and its application in dentistry. Although their attitude towards AI was fair (48.75%) but their practical experience of using AI was poor (57.89%). There was a significant difference between the KAP of postgraduates when compared to interns (p value < 0.05). Pearsons’s correlation test showed that there was no correlation between knowledge and attitude or knowledge with behaviour as well as attitude and behaviour.There is a lack of awareness about the use of AI in dentistry among dental students. So, there is a need for implementation of practical courses to improve the knowledge as well as practice of AI in dentistry.