Impact Of Artificial Intelligence Research Articles

Development and Validation of Instruments for Assessing the Impact of Artificial Intelligence on Students in Higher Education

<p style="text-align:justify">The role of artificial intelligence (AI) in education remains incompletely understood, demanding further evaluation and the creation of robust assessment tools. Despite previous attempts to measure AI's impact in education, existing studies have limitations. This research aimed to develop and validate an assessment instrument for gauging AI effects in higher education. Employing various analytical methods, including Exploratory Factor Analysis, Confirmatory Factor Analysis, and Rasch Analysis, the initial 70-item instrument covered seven constructs. Administered to 635 students at Nueva Ecija University of Science and Technology – Gabaldon campus, content validity was assessed using the Lawshe method. After eliminating 19 items through EFA and CFA, Rasch analysis confirmed the construct validity and led to the removal of three more items. The final 48-item instrument, categorized into learning experiences, academic performance, career guidance, motivation, self-reliance, social interactions, and AI dependency, emerged as a valid and reliable tool for assessing AI's impact on higher education, especially among college students.</p>

Revolutionizing Innovations and Impact of Artificial Intelligence in Healthcare

Revolutionizing Innovations and Impact of Artificial Intelligence in Healthcare

Impact of Artificial Intelligence on Indian Banking Sector- A Study of Banks

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. Intelligence might be defined as the ability to learn and perform suitable techniques to solve problems and achieve goals, appropriate to the context in an uncertain, ever-varying world. A fully pre-programmed factory robot is flexible, accurate, and consistent but not intelligent. Artificial Intelligence (AI), a term coined by emeritus Stanford Professor John McCarthy in 1955, was define as “the science and engineering of making intelligent machines”. Much research has humans program machines to behave in a clever way, like playing chess, but, today, people emphasize machines that can learn, at least somewhat like human beings do. Autonomous systems can independently plan and decide sequences of steps to achieve a specified goal without micro-management. A hospital delivery robot must autonomously navigate busy corridors to succeed in its task. In AI, autonomy doesn’t have the sense of being self-governing common in politics or biology.

The Impact of Artificial Intelligence in Employee Onboarding Programs

Problem Employee onboarding is one of the most important phases of an employee’s life cycle. Human resources (HR) is vital in setting employees up for success, particularly during this employment stage. Some organizations lose employees before they have had a chance to learn about and acclimate to the organization. An ineffective onboarding program may contribute to high turnover costs and low employee retention. Solution This article discusses emerging trends in the role of artificial intelligence (AI) in human resource development (HRD) and how AI is being used to develop more effective and efficient processes and programs. Recommendations for practitioners will include how AI may create an informative and engaging onboarding program that may increase employee retention. Stakeholders Organizational development (OD) and learning and development (LD) professionals who want a more effective employee onboarding program that will provide the knowledge employees need while creating an engaging learning experience.

AI-Driven Cybersecurity: Balancing Advancements and Safeguards

As Artificial Intelligence (AI) continues its rapid evolution, its profound influence on cybersecurity becomes increasingly evident. This study delves into the pivotal role of AI in fortifying cybersecurity measures, emphasizing its capacity for enhanced threat detection, automated response mechanisms, and the development of resilient security frameworks. However, alongside its promise, recognition of AI's susceptibility to exploitation in sophisticated cyber-attacks exists, underscoring the imperative for continual advancements in AI-driven security solutions. This research offers a nuanced perspective on AI's impact on cybersecurity, advocating for the proactive integration of AI strategies, sustained research efforts, and formulating ethical guidelines. Adopting supervised machine learning (ML) algorithms like decision trees, support vector machines, and neural networks aims to harness AI's potential to bolster cybersecurity while concurrently addressing associated risks, paving the way for a secure digital landscape. Regarding accuracy, the neural network outperforms other models by 98%.

Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan.

The advent of artificial intelligence (AI) technologies has emerged as a promising solution to enhance healthcare efficiency and improve patient outcomes. The objective of this study is to analyse the knowledge, attitudes, and perceptions of healthcare professionals in Pakistan about AI in healthcare. We conducted a cross-sectional study using a questionnaire distributed via Google Forms. This was distributed to healthcare professionals (e.g., doctors, nurses, medical students, and allied healthcare workers) working or studying in Pakistan. Consent was taken from all participants before initiating the questionnaire. The questions were related to participant demographics, basic understanding of AI, AI in education and practice, AI applications in healthcare systems, AI's impact on healthcare professions and the socio-ethical consequences of the use of AI. We analyzed the data using Statistical Package for Social Sciences (SPSS) statistical software, version 26.0. Overall, 616 individuals responded to the survey while n = 610 (99.0%) of respondents consented to participate. The mean age of participants was 32.2 ± 12.5 years. Most of the participants (78.7%, n = 480) had never received any formal sessions or training in AI during their studies/employment. A majority of participants, 70.3% (n = 429), believed that AI would raise more ethical challenges in healthcare. In all, 66.4% (n = 405) of participants believed that AI should be taught at the undergraduate level. The survey suggests that there is insufficient training about AI in healthcare in Pakistan despite the interest of many in this area. Future work in developing a tailored curriculum regarding AI in healthcare will help bridge the gap between the interest in use of AI and training.

The Impact of Artificial Intelligence on Job Loss: Risks for Governments

The rapid advancement of Artificial Intelligence (AI) technologies presents both opportunities and challenges for labor markets globally. By adopting a qualitative methodology, this study analyses the impact of AI integration in jobs on the labor market and the subsequent policy responses by governments. The study specifies the industries and jobs that are highly susceptible to AI-driven automation, particularly those characterized by routine and repetitive tasks. The study also acknowledges the potential for AI to create new job categories. Key findings suggest that while AI poses a significant risk of job displacement in several sectors, it also offers opportunities for economic growth, opening of new jobs and innovation. Moreover, the study highlights various government strategies employed globally, including up-skilling and re-skilling initiatives, strengthening social protection systems, and fostering AI-human collaboration. These strategies aim to mitigate the adverse impacts of AI on employment and ensure a balanced transition to AI-integrated economies. Based on these strategies, the paper suggests some recommendations for governments to address AI-driven job losses, emphasizing the importance of multidisciplinary education, ethical AI use, inclusive growth strategies, and international cooperation.

The Impact of Artificial Intelligence on Enhancing EFL Writing Skills among High School Students

The Impact of Artificial Intelligence on Enhancing EFL Writing Skills among High School Students

Human right to be forgiven

The article examines in detail the concept of “a person’s right to be forgotten” as an important aspect of a natural person’s right to information about himself, which allows a person to demand the removal or destruction of his personal information. The question is also devoted to the main aspects of the history and development of the “right to be forgotten” concept. The author states that a significant contribution to the regulation of the right to be forgotten within the framework of the legislation on personal data protection was made by the European Union. After all, EU Regulation 2016/679 defines the conditions for obtaining this right, the conditions for fulfilling requests to delete information about yourself, and the circumstances under which this right may be limited. However, this Regulation does not take into account the entire amount of personal information, which complicates the process of realizing the human right to be forgotten. It has been determined that different countries develop their own approaches to the right to be forgotten. It was found that the current legislation of Ukraine provides for two stages of “forgetting”: a court decision and filing a complaint for violation of the terms of consent to the processing and storage of personal data. At the same time, the decision of the European Court, which became key in the world judicial practice regarding the human right to be forgotten, was considered. In addition, the balance between the right to be forgotten and freedom of information is described. The public interest and ethical aspects in the context of the right to be forgotten are studied. The need for transparency and a balanced approach to the researched law is substantiated. The technical aspects of the human right to be forgotten and the challenges they generate are also described. The complexity of technical data deletion and the challenges of data caching and indexing have been studied. The general aspects of ensuring the security and protection of data during deletion are identified, as well as the impact of artificial intelligence and automation on the human right to be forgotten.

Revisiting translator competence in the age of artificial intelligence: the case of legal and institutional translation

ABSTRACT Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of adapting a pioneering model of legal translation competence to the broader scope of institutional translation in light of recent trends, as verified by triangulating information from multiple interviews, analyses of translation volumes and job descriptors and other professional inputs. The resulting revised descriptor was validated through a survey of 474 translation professionals from 24 international organisations of diverse sizes and domain specialisations. The suitability of the descriptor was corroborated across the board, but variations were found in perceptions of the relevance of sub-competences to ensure translation quality. Profiles with a stronger specialisation in legal translation or more experience in institutional translation showed higher awareness of the relevance of all the sub-competences, especially the core language, strategic and thematic competences, and even more so for translating texts of a legal or administrative nature. The implications of these findings for training purposes in particular are discussed.

Impact of Artificial Intelligence in Accounting

The application of artificial intelligence (AI) in accounting has transformed conventional methods and changed how financial management and decision-making are conducted. This essay examines the complex effects of artificial intelligence (AI) on accounting, focusing on how these effects may affect organizational efficiency, accuracy, and strategic decision-making. This study investigates the use of artificial intelligence (AI) technologies, including as machine learning, natural language processing, and robotic process automation, in accounting operations, from data input and analysis to risk assessment and forecasting, through a thorough evaluation of the body of existing literature. It also looks at the potential and problems that come with implementing AI, such as labor reskilling, ethical issues, and regulatory compliance. This research gives insightful information about the transformative potential of AI in accounting by combining findings from academic studies and industry sources. It also includes tips for practitioners and policymakers navigating this ever-changing field. The economy, science, and technology are developing at a rapid pace, ushering in the age of artificial intelligence, which has had a profound impact on every part of life. Whether or not there is widespread worry about the fate of accountants facing elimination. This essay will examine how artificial intelligence will affect accounting staff and how to prevent accounting fraud while also producing positive effects on the quality of accounting information. Since machines cannot make decisions, artificial intelligence won't result in widespread unemployment. The article's conclusion will emphasize that, in the grand scheme of artificial intelligence, accounting staff members should develop their own seven skill areas and become fully qualified professionals.

The impact of artificial intelligence on economic development

PurposeThis paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey of the latest publications, in particular papers and reports issued by academics, consulting companies and think tanks.Design/methodology/approachOur paper represents a point of view on AI and its impact on the global economy. It represents a descriptive analysis of the AI phenomenon.FindingsAI represents a driver of productivity and economic growth. It can increase efficiency and significantly improve the decision-making process by analyzing large amounts of data, yet at the same time it creates equally serious risks of job market polarization, rising inequality, structural unemployment and the emergence of new undesirable industrial structures.Practical implicationsThis paper presents itself as a building block for further research by introducing the two main factors in the production function (Cobb-Douglas): labor and capital. Indeed, Zeira (1998) and Aghion, Jones and Jones (2017) suggested that AI can stimulate growth by replacing labor, which is a limited resource, with capital, an unlimited resource, both for the production of goods, services and ideas.Originality/valueOur study contributes to the previous literature and presents a descriptive analysis of the impact of AI on technological development, economic growth and employment.

Impact of Artificial Intelligence in Companies Marketing Strategies

Impact of Artificial Intelligence in Companies Marketing Strategies

The Impact of Artificial Intelligence on Information Audit Usage: Evidence from Developing Countries

The present study aims to explore the factors influencing the utilization of Information audit in the context of Egypt and Jordan, with specific attention given to the role of artificial intelligence (AI). A sample of 443 respondents participated in the study, and data collection was carried out through a non-probability convenience and snowball sampling approach. The findings reveal that internal determinants are positively associated with the intention to adopt Information audit technologies, exhibiting a significant impact with a beta coefficient of +0.45 (P-value < 0.01), and the perceived benefits associated with their implementation. Moreover, the study underscores the critical influence of artificial intelligence, with dimensions such as cloud computing, data mining, and e-commerce enhancing the perceived advantages (β = 0.35, P-value < 0.01) and fostering the intent to use Information audit technologies (β = 0.22, P-value < 0.01). Additionally, there is a robust positive correlation between the intention to use Information audit technologies and their actual usage, where the presence of AI amplifies this association, indicated by a beta value of 0.48 (P-value < 0.01). This study significantly enriches the existing body of knowledge by delineating the determinants of Information audit usage, particularly within the Middle Eastern context, and highlights the pivotal role of artificial intelligence in shaping these dynamics. The study provides empirical evidence on the factors influencing the intention to use Information audit technologies, the perceived benefits associated with their usage, and the actual utilization of Information audit. Its originality lies in its focus on the underexplored Middle East region within the Information audit literature and its investigation of the influence of artificial intelligence on Information audit. The implications of this study are significant for practitioners, auditors, and policymakers operating within the Middle East region. The findings suggest that firms should allocate sufficient support and resources to encourage the adoption of Information audit technologies. Additionally, auditors need to have the necessary skills and knowledge to effectively use these technologies. Policymakers can use the study's findings to develop policies and regulations that promote the adoption of Information audit technologies.

Impact of Artificial Intelligence in Education Sector

Abstract: Building intelligent computers that can carry out tasks that traditionally require human intelligence is the goal of artificial intelligence (AI), a broad field of computer science. While there are many different approaches to AI, it is an interdisciplinary discipline, and recent developments in machine learning and deep learning in particular are causing a paradigm change in almost every area of the tech industry. Machines equipped with artificial intelligence are able to mimic or even outperform human brain functions. And as generative AI tools like ChatGPT and Google's Bard proliferate and selfdriving car technology advances, AI is quickly becoming a part of daily life and a field that businesses in every sector are investing in.

The Impact of Artificial Intelligence on Personalized Marketing

Abstract: Artificial intelligence (AI) has become increasingly prevalent in various industries, revolutionizing traditional practices and introducing novel approaches. One such domain significantly influenced by AI is marketing, particularly in the realm of personalized marketing. Personalized marketing aims to tailor promotional efforts to individual consumers based on their preferences, behaviours, and demographics. The integration of AI technologies in personalized marketing strategies has promised to enhance targeting accuracy, improve customer engagement, and ultimately drive higher conversion rates Consequently, investigating the impact of AI on personalized marketing holds substantial significance in understanding the evolving dynamics of consumer-brand interactions in the digital age.

The Impact of Artificial Intelligence on Legal Practice and Ethics

Abstract: Artificial intelligence (AI) is changing many sectors by upending traditional methods of task execution. This wave of technical innovation is not exclusive to the legal profession. Even while AI isn't quite ready to take the position of human attorneys, it is already revolutionizing the legal profession. This essay will examine the advantages, difficulties, and possible ramifications of artificial intelligence for the legal profession.

Advancements and challenges in AI-driven language technologies: From natural language processing to language acquisition

This paper explores the evolution and impact of artificial intelligence (AI) in the realm of language technologies. We trace the historical development of language models in AI, starting from the rule-based systems of the 1960s to the sophisticated neural networks of today. The current state-of-the-art technologies, particularly transformer-based models like OpenAI's GPT series, are examined for their capabilities and limitations. We delve into the role of AI in language acquisition and learning, highlighting AI-driven language teaching tools such as Duolingo and Babbel, and discuss their effectiveness and challenges. Furthermore, the paper explores the significant contributions of AI in second language acquisition research, including the development of predictive models and sophisticated learner profiles. Ethical considerations and challenges, such as data privacy and potential biases, are also addressed. We discuss advancements in natural language processing (NLP) applications like text and sentiment analysis, speech recognition and generation, and machine translation, along with their cross-linguistic challenges. The conclusion envisions future directions for AI in language technologies, emphasizing the need for multimodal inputs, efficiency, and enhanced interpretability.

Impact of Artificial Intelligence on Nursing Students’ Attitudes toward Older Adults: A Pre/Post-Study

As the global population ages, nurses with a positive attitude toward caring for older adults is crucial. However, studies indicate that nursing students often exhibit negative attitudes toward older adults. This study aimed to determine if a three-phased educational intervention significantly improved nursing students’ attitudes toward older adults. A pre/post-test study design was used to measure the change in nursing students’ attitudes toward older adults, as measured by the UCLA Geriatrics Attitudes Survey, after participating in an Artificial Intelligence in Education learning event (n = 151). Results indicate that post-intervention scores (M = 35.07, SD = 5.34) increased from pre-intervention scores (M = 34.50, SD = 4.86). This difference was statistically significant at the 0.10 significance level (t = 1.88, p = 0.06). Incorporating artificial intelligence technology in a learning event is an effective educational strategy due to its convenience, repetition, and measurable learning outcomes. Improved attitudes toward older adults are foundational for delivering competent care to a rapidly growing aging population. This study was prospectively registered with the university’s Institutional Review Board (IRB) on 30 July 2021 with the registration number IRB-FY22-3.

Impact of Artificial Intelligence (AI) on Existing Businesses and the Global Economy

Artificial intelligence (AI) is rapidly transforming the business landscape and the global economy. This paper explores the multifaceted impact of AI on existing businesses, focusing on both opportunities and challenges. It analyzes how AI is enhancing productivity, optimizing decision-making, and creating new business models. The paper also examines the potential for job displacement and the need for workforce retraining. Furthermore, it discusses the broader economic implications of AI, including its contribution to economic growth, potential for inequality, and the importance of ethical considerations.