Impact Of Artificial Intelligence Research Articles

Impact Of Artificial Intelligence In Recruitment And Selection Practices In Information Technology (It) Companies In Chennai – Principal Component Analysis

Impact Of Artificial Intelligence In Recruitment And Selection Practices In Information Technology (It) Companies In Chennai – Principal Component Analysis

A Study on Impact of Artificial Intelligence (AI) on Library Services

A Study on Impact of Artificial Intelligence (AI) on Library Services

Research on the Impact of Artificial Intelligence on the Development of Education

Research on the Impact of Artificial Intelligence on the Development of Education

Research on the impact of artificial intelligence on the labor market

The rapid development and application of artificial intelligence technology has brought new power to the social development, optimized the production link and management process, and improved the productivity level of manufacturing enterprises. At the same time, it has also triggered concerns in the job market about the "machine replacement". Literature analysis shows that AI applications will not bring about the "leisure era" described by Keynes, and that AI will change the labor market by replacing old jobs with new jobs, leading to the fear of unemployment and the need to learn new skills. Therefore, we should correctly understand the substitution effect of AI, seize the opportunity of talent training brought by AI, and reasonably grasp the application scope and degree of AI for enterprises in different regions and sizes.

The Impact of Artificial Intelligence on the Future of Radiographer Career in Saudi Arabia

The emergence of artificial intelligence (AI) technologies in the healthcare imaging domain has heightened discourse regarding the responsibilities and role of radiologists, thereby bringing this issue to the fore. On the other hand, the extent to which this kind of equipment will alter the radiographer's job has not been much discussed. To examine the potential effects of AI on the radiography job, this study assesses current processes and cross-maps potential areas for automation, such as procedure organizing, picture capture, and processing images. We also draw attention to the advantages that AI offers, such as improved patient care, greater technology skills, elevated cross-modality learning and teamwork, and an extension of radiographer duties into AI-supported picture auditing and reporting roles. For the purpose of incorporating AI systems into medical imaging, radiologists are crucial because they serve as a liaison between people and technological advances. Studies have looked at the knowledge, beliefs, and attitudes of Saudi Arabian radiology professionals toward AI to investigate how radiologists react toward AI in radiology and to find out their opinions about AI in the future of radiology.

Impact of Artificial Intelligence on the Transformation and Development of Educational Sector in Nigeria

Impact of Artificial Intelligence on the Transformation and Development of Educational Sector in Nigeria

Impact of artificial intelligence on carbon emission efficiency: evidence from China.

Artificial intelligence (AI) has been extensively used as a revolutionary and versatile technology in various fields. However, scholars have not given substantial consideration to the impact of AI on the environment, particularly carbon emission efficiency (CEE). This study adopts the global super-efficiency slacks-based model to evaluate CEE of 30 provinces in China from 2006 to 2019. Thereafter, the current study investigates the impact mechanism of AI on CEE using the stochastic impact of population, affluence, and technology (STIRPAT) model. The empirical analysis provides the following valuable research findings. First, AI, represented by industrial robots, can significantly improve CEE. Second, AI can enhance CEE by promoting technological innovation and upgrading industrial structures. Lastly, the relationship between AI and CEE is influenced by marketization and government intervention.

The impact of artificial intelligence and the future of ChatGPT for mathematics teaching and learning in schools and higher education

No abstract available.

The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review

As digital transformation continues to advance, organisations are becoming increasingly aware of the benefits that modern technologies offer. However, with greater technology adoption comes a higher risk of cyber security threats and attacks. Therefore, there is a need for more advanced measures to protect against constantly evolving threats. One potential solution is the use of Artificial Intelligence (AI). The aim of this research paper was to conduct a systematic literature review (SLR) to assess the impact of AI-based technologies on organisational cyber security and determine their effectiveness compared to traditional cyber security approaches. The PRISMA flow diagram was used to guide the review process. Peer-reviewed articles from 2018 to 2023 were included from EBSCO Host, Google Scholar, Science Direct, ProQuest & SCOPUS and 73 remaining articles were synthesised.The results revealed that AI can impact cybersecurity throughout it's entire life cycle, yielding benefits like automation, threat intelligence, and improved cyber defense. Nevertheless, it also brings challenges like adversarial attacks and the need for high-quality data, which could lead to the inefficiency of AI. These results affirm the positive influence of AI on cybersecurity, enhancing effectiveness and resilience. These findings provide a solid foundation for further research in the field of organisational cybersecurity. These results can help organisations make informed decisions on AI implementations by offering an impartial view of its impacts.

CHATGPT – LEARNING ACCELERATOR OR DEMOLISHER OF FOREIGN LANGUAGE TEACHING AND LEARNING? AN EMPIRICAL STUDY ON BUSINESS FRENCH

Few inventions are as provocative and genuinely frightening as ChatGPT. Launched in 2022, ChatGPT is sparking lively debate and raising ethical, academic and professional questions across the board. The impact of artificial intelligence on the teaching and learning of foreign languages, as well as its use in professional settings, will undoubtedly be considerable. It is still difficult for non-specialists to understand clearly the extent to which the conversational robot could become a real competitor in the job market and, in time, replace humans. This is why we are proposing a simple and illustrative model for simulating professional activity, built around the issue of foreign languages in the professional environment. This model highlights the undeniable contrast between the expenditure of time and energy by human intelligence and artificial intelligence, respectively, in solving the same professional task. This impactful strategic approach, through the cinematic effect of its presentation, is capable of provoking significant awareness and stimulating reflection on the role of AI in the learning process of students or employees and their integration into the future labour market. The case study on business correspondence in French can be extrapolated to other foreign languages and can serve as a pretext for similar studies or training courses in other fields. The machine is clearly superior to humans in its ability to generate numerous correct versions extremely quickly in the resolution of professional tasks. From the perspective of various stakeholders – teachers and students, employees and employers, educational policy designers, and official decision-makers – we will show that artificial intelligence will force everyone to reconsider previous approaches and make radical changes. Artificial intelligence can represent a real opportunity for users who want to accelerate their foreign language learning and improve their linguistic proficiency. The machine’s performance can also pose a threat to language teaching and learning as traditionally known. ChatGPT is like a sharp knife, capable of doing both good and harm depending on how it is used.

The Impact of Artificial Intelligence and the Importance of Transdisciplinary Research

The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies is transforming industries, societies, and the nature of human-machine interactions. This paper explores the impact of AI and the critical role of transdisciplinary research in understanding, harnessing, and guiding its evolution. We discuss the evolution of AI from rule-based systems to complex neural networks, followed by various use cases and a case study of the MITRE Corporation's xAcademy platform. Challenges and safety recommendations are presented, and future work is proposed to address ethical, social, and economic implications of AI. The aim is to foster a comprehensive understanding of AI's potential and promote interdisciplinary collaboration to ensure an ethically sound and equitable AI-powered future.

The impact of artificial intelligence on teaching writing skills to life science students

The impact of artificial intelligence on teaching writing skills to life science students

Impact of Artificial Intelligence on Colorectal Polyp Detection and Characterization

AbstractColorectal cancer (CRC) is the third most common cancer in the world. Colonoscopy has contributed significantly to reduction of incidence and mortality of CRC. Integration of artificial intelligence (AI) into colonoscopy practice has addressed the various shortcomings of screening colonoscopies. AI-assisted colonoscopy will help in real-time recognition of type of polyp with probable histology. This will not only save time but will also help to mitigate human errors. Computer-aided detection and computer-aided characterization are two applications of AI, which are being studied extensively with a goal of improvement of polyp and adenoma detection rates. Several studies are being conducted across the globe, which either involve simple decision-making algorithms or complex patterns through neural networks, which imitate the human brain. Most data are collected retrospectively and the research is limited to single-center studies, which might have bias. Therefore, the future research on AI in colonoscopy should aim to develop more sophisticated convolutional neural network and deep learning models that will help to standardize the practice and ensure the same degree of accuracy with all the colonoscopies, irrespective of experience of performing endoscopists. In this review, we will take a closer look at the current state of AI and its integration into the field of colonoscopy.

The Impact of Artificial Intelligence on Employment and Workforce Trends in the Post-Pandemic Era

Abstract: The integration of artificial intelligence (AI) into the workforce has taken canter stage, accelerated by the COVID-19 pandemic and the imperative for remote and efficient work solutions. This research paper extensively examines the multifaceted impact of AI on employment and workforce trends in the post-pandemic era. Our study investigates the profound changes AI brings to the labour market, touching on issues such as job displacement, skills adaptation, and the evolving nature of work. Furthermore, we explore the ethical dimensions and socio-economic considerations of this transition. This paper offers a global perspective on how AI-driven workforce changes affect diverse regions and economies. Finally, it outlines strategies and recommendations for individuals and organizations to navigate this evolving landscape, ensuring a harmonious blend of AI technologies with human potential. The first dimension of this research is a prospective analysis of the current and future landscape. "Artificial Intelligence, Pandemic, and Employment: A Prospective Analysis" by John A. Smith provides a comprehensive exploration of the potential effects of AI and the pandemic on employment. Smith identifies the key challenges and opportunities emerging from this convergence, offering insights into the ever-changing world of work. He emphasizes the need for proactive adaptation to maximize the benefits of AI and navigate the challenges brought about by the pandemic. The impact of AI technologies is not limited to workforce trends; it extends to the broader labour market dynamics. In "AI and Labor Market Shifts: Implications for Post-Pandemic Recovery" by David R. Johnson, the research focuses on the implications of AI on labour market shifts. Johnson underlines the necessity of adopting forward-looking policies to ensure a harmonious transition into a post-pandemic world driven by AI. The study argues for a balanced approach that accounts for potential job displacement and highlights the importance of re-skilling and up-skilling initiatives.

Dissemination of fake news within transnational public spaces. Legal aspects, psychological dynamics of disinformation, and the impact of artificial intelligence

Dissemination of fake news within transnational public spaces. Legal aspects, psychological dynamics of disinformation, and the impact of artificial intelligence

Impact of artificial intelligence on dentists’ gaze during caries detection: A randomized controlled trial

ObjectivesWe aimed to understand how artificial intelligence (AI) influences dentists by comparing their gaze behavior when using versus not using an AI software to detect primary proximal carious lesions on bitewing radiographs. Methods22 dentists assessed a median of 18 bitewing images resulting in 170 datasets from dentists without AI and 179 datasets from dentists with AI, after excluding data with poor gaze recording quality. We compared time to first fixation, fixation count, average fixation duration, and fixation frequency between both trial groups. Analyses were performed for the entire image and stratified by (1) presence of carious lesions and/or restorations and (2) lesion depth (E1/2: outer/inner enamel; D1–3 outer-inner third of dentin). We also compared the transitional pattern of the dentists’ gaze between the trial groups. ResultsMedian time to first fixation was shorter in all groups of teeth for dentists with AI versus without AI, although p>0.05. Dentists with AI had more fixations (median=68, IQR=31, 116) on teeth with restorations compared to dentists without AI (median=47, IQR=19, 100), p = 0.01. In turn, average fixation duration was longer on teeth with caries for the dentists with AI than those without AI; although p>0.05. The visual search strategy employed by dentists with AI was less systematic with a lower proportion of lateral tooth-wise transitions compared to dentists without AI. ConclusionsDentists with AI exhibited more efficient viewing behavior compared to dentists without AI, e.g., lesser time taken to notice caries and/or restorations, more fixations on teeth with restorations, and fixating for shorter durations on teeth without carious lesions and/or restorations. Clinical significanceAnalysis of dentists’ gaze patterns while using AI-generated annotations of carious lesions demonstrates how AI influences their data extraction methods for dental images. Such insights can be exploited to improve, and even customize, AI-based diagnostic tools, thus reducing the dentists’ extraneous attentional processing and allowing for more thorough examination of other image areas.

Evaluating Computer Science Students' Experiences and Motivation Towards Learning Artificial Intelligence

This study investigates the experiences and motivations of Saudi Arabian computer science students (aged 18 and above) in their pursuit of knowledge in Artificial Intelligence (AI). It employs a cross-sectional design using web-based surveys. Findings indicate that students recognize AI's transformative potential in computer science and express a willingness to embrace it in their careers. However, confidence levels vary regarding using AI tools, understanding healthcare AI, and assessing AI's impact on computer science education. The study emphasizes the significance of intrinsic motivation, experiential learning, and pedagogical strategies like collaborative learning in AI education. Additionally, it underscores the importance of addressing gender and diversity considerations to create inclusive AI learning environments. In conclusion, this research provides valuable insights into computer science students' experiences and motivations in AI education. It offers practical implications for enhancing AI pedagogy, reducing barriers to learning, and promoting diversity and inclusivity in the AI field. Educators can empower students to navigate the dynamic AI landscape effectively by tailoring educational approaches to individual learner needs.

Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial.

The integration of artificial intelligence (AI) into health sciences students' education holds significant importance. The rapid advancement of AI has opened new horizons in scientific writing and has the potential to reshape human-technology interactions. AI in education may impact critical thinking, leading to unintended consequences that need to be addressed. Understanding the implications of AI adoption in education is essential for ensuring its responsible and effective use, empowering health sciences students to navigate AI-driven technologies' evolving field with essential knowledge and skills. This study aims to provide details on the study protocol and the methods used to investigate the usability and efficacy of ChatGPT, a large language model. The primary focus is on assessing its role as a supplementary learning tool for improving learning processes and outcomes among undergraduate health sciences students, with a specific emphasis on chronic diseases. This single-blinded, crossover, randomized, controlled trial is part of a broader mixed methods study, and the primary emphasis of this paper is on the quantitative component of the overall research. A total of 50 students will be recruited for this study. The alternative hypothesis posits that there will be a significant difference in learning outcomes and technology usability between students using ChatGPT (group A) and those using standard web-based tools (group B) to access resources and complete assignments. Participants will be allocated to sequence AB or BA in a 1:1 ratio using computer-generated randomization. Both arms include students' participation in a writing assignment intervention, with a washout period of 21 days between interventions. The primary outcome is the measure of the technology usability and effectiveness of ChatGPT, whereas the secondary outcome is the measure of students' perceptions and experiences with ChatGPT as a learning tool. Outcome data will be collected up to 24 hours after the interventions. This study aims to understand the potential benefits and challenges of incorporating AI as an educational tool, particularly in the context of student learning. The findings are expected to identify critical areas that need attention and help educators develop a deeper understanding of AI's impact on the educational field. By exploring the differences in the usability and efficacy between ChatGPT and conventional web-based tools, this study seeks to inform educators and students on the responsible integration of AI into academic settings, with a specific focus on health sciences education. By exploring the usability and efficacy of ChatGPT compared with conventional web-based tools, this study seeks to inform educators and students about the responsible integration of AI into academic settings. ClinicalTrails.gov NCT05963802; https://clinicaltrials.gov/study/NCT05963802. PRR1-10.2196/51873.

Statistical Analysis: Impact of Artificial Intelligence on Academic Performance

A documentary review was carried out on the production and publication of research papers related to the study of the variables Artificial Intelligence and Academic Performance. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022 by Latin American institutions, achieving the identification of 56 publications. The information provided by this platform was organized through graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors on the proposed topic is referenced through a qualitative analysis. Among the main findings made through this research, it is found that Mexico, with 17 publications, was the Latin American country with the highest scientific production registered in the name of authors affiliated with institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material related to the study of Artificial Intelligence and Academic Performance was Computer Science with a total of 37 published documents, and the most used Publication Type during the period indicated above were Journal Articles with 53% of the total scientific production. 

Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine.

The integration of large language models (LLMs) and artificial intelligence (AI) into scientific writing, especially in medical literature, presents both unprecedented opportunities and inherent challenges. This manuscript evaluates the transformative potential of LLMs for the synthesis of information, linguistic enhancements, and global knowledge dissemination. At the same time, it raises concerns about unintentional plagiarism, the risk of misinformation, data biases, and an over-reliance on AI. To address these, we propose governing principles for AI adoption that ensure integrity, transparency, validity, and accountability. Additionally, guidelines for reporting AI involvement in manuscript development are delineated, and a classification system to specify the level of AI assistance is introduced. This approach uniquely addresses the challenges of AI in scientific writing, emphasizing transparency in authorship, qualification of AI involvement, and ethical considerations. Concerns regarding access equity, potential biases in AI-generated content, authorship dynamics, and accountability are also explored, emphasizing the human author's continued responsibility. Recommendations are made for fostering collaboration between AI developers, researchers, and journal editors and for emphasizing the importance of AI's responsible use in academic writing. Regular evaluations of AI's impact on the quality and biases of medical manuscripts are also advocated. As we navigate the expanding realm of AI in scientific discourse, it is crucial to maintain the human element of creativity, ethics, and oversight, ensuring that the integrity of scientific literature remains uncompromised.