Impact Of Artificial Intelligence Research Articles

Enhancing cybersecurity protocols in tax accounting practices: Strategies for protecting taxpayer information

This paper highlights the importance of enhancing cybersecurity measures in tax accounting to protect taxpayer data. It proposes strategies to ensure compliance and enhance data security in the context of evolving cyber threats. This study investigated the cybersecurity landscape within the tax accounting sector, focusing on prevalent threats, the effectiveness of existing security measures, and areas for improvement. Utilizing a mixed-methods approach, the research combined qualitative interviews with cybersecurity experts and tax accounting professionals, quantitative surveys of 200 tax accounting firms, and detailed case studies of firms that experienced significant cyberattacks. The findings reveal that phishing attacks, ransomware, data breaches, malware, and insider threats are the most common cybersecurity challenges faced by tax accounting practices. While measures such as encryption, multi-factor authentication (MFA), firewalls, intrusion detection systems (IDS), regular security audits, and comprehensive employee training prove effective, their inconsistent implementation across the industry highlighted the need for standardized protocols. The study identified significant gaps in resource allocation, particularly for smaller firms and non-profits, and underscores the necessity for formal incident response plans. Recommendations include enhanced training programs, development of standardized security protocols, resource support for smaller firms, regular security audits, comprehensive incident response plans, and adoption of advanced technologies. The study calls for further exploration of emerging threats, cost-effective solutions for smaller firms, the impact of artificial intelligence (AI) and machine learning (ML), longitudinal studies on cybersecurity practices, and analysis of policy and regulatory impacts. These insights aim to enhance the cybersecurity posture of tax accounting practices, ensuring the protection of sensitive taxpayer information and overall industry resilience.

Emerging trends in flavonoid research: Advances in understanding and applications

Flavonoids are secondary plant metabolites involved in biological activity that are present in plentiful proportions in many plant origin foods and beverages. Owing to their chemical difference and qualities that make them beneficial for human health, they have received a lot of focus in research. This review therefore presents an account on the chemical structure of flavonoids, food sources and their metabolism with emphasis on bioavailability. And they also examine their antioxidant, anti-inflammatory, anticancer, cardiovascular protective, neuroprotective, and antimicrobial properties and reveal related molecular processes. In addition, it overviews the clinical data concerning their possible use in the prevention and treatment of chronic diseases. Some of the problems that attend current flavonoid research are also dealt with; such issues as variation in the bioactivity of flavonoids and scarcity of clinical studies. This review is designed to present current state of knowledge and to provoke further research concerning the further potential of flavonoids in enhancing human health.

The impact of artificial intelligence on regulatory compliance in the oil and gas industry

Artificial Intelligence (AI) is increasingly transforming the regulatory compliance landscape in the oil and gas industry. This paper examines the profound impact of AI on ensuring adherence to complex regulatory frameworks governing this sector. Regulatory compliance in the oil and gas industry involves adhering to a myriad of environmental, safety, and operational regulations, often posing significant challenges due to the volume and complexity of data involved. AI technologies, including machine learning, natural language processing, and predictive analytics, offer innovative solutions to these challenges. AI enhances data management and analysis by automating data collection, processing, and reporting, thereby increasing accuracy and efficiency. Predictive maintenance and risk assessment tools powered by AI can identify potential compliance issues before they arise, allowing for proactive measures. Moreover, AI-driven compliance monitoring systems enable real-time tracking of regulatory adherence, reducing the risk of non-compliance and associated penalties. Automated auditing and inspection processes further streamline compliance checks, ensuring thorough and consistent evaluations. Case studies demonstrate successful AI implementations in regulatory compliance, such as automated reporting systems in offshore drilling and predictive maintenance in pipeline management, which have resulted in improved compliance rates and reduced operational risks. However, the adoption of AI is not without challenges. Issues related to data quality and integration, cybersecurity, and regulatory acceptance pose significant hurdles. Additionally, ethical and legal considerations surrounding AI deployment must be addressed to ensure responsible use. AI holds substantial potential to revolutionize regulatory compliance in the oil and gas industry by enhancing efficiency, accuracy, and proactive risk management. As AI technologies continue to evolve, their integration into compliance processes will likely become more sophisticated, offering greater benefits and addressing current limitations. The future of regulatory compliance in the oil and gas sector will be increasingly shaped by the advancements in AI, driving both operational excellence and adherence to stringent regulatory standards.

The Impact of Artificial Intelligence on Digital Employee Engagement

The Impact of Artificial Intelligence on Digital Employee Engagement

The Impact of Artificial Intelligence (AI) on Business Operations in Bangladesh

The Impact of Artificial Intelligence (AI) on Business Operations in Bangladesh

Pakistani students’ perceptions about knowledge, use and impact of artificial intelligence (AI) on academic writing: a case study

Pakistani students’ perceptions about knowledge, use and impact of artificial intelligence (AI) on academic writing: a case study

Governing with Intelligence: The Impact of Artificial Intelligence on Policy Development

As the field of artificial intelligence (AI) continues to evolve, its potential applications in various domains, including public policy development, have garnered significant interest. This research aims to investigate the role of AI in shaping public policies through a qualitative examination of secondary data and an extensive bibliographic review. By analyzing the existing literature, government reports, and relevant case studies, this study seeks to uncover the opportunities, challenges, and ethical considerations associated with leveraging AI in the formulation and implementation of public policies. This research will delve into the potential benefits of AI-driven policy analysis, such as enhanced decision-making processes, data-driven insights, and improved policy outcomes. Additionally, it will explore the risks and concerns surrounding AI’s influence on policy, including potential biases, privacy implications, and the need for transparency and accountability. The findings of this study will contribute to the ongoing discourse on the responsible and effective integration of AI in public policy development, fostering informed decision-making and promoting the ethical use of this transformative technology.

The Impact of Artificial Intelligence on Internal Medicine Physicians: A Survey of Procedural and Non-procedural Specialties

The Impact of Artificial Intelligence on Internal Medicine Physicians: A Survey of Procedural and Non-procedural Specialties

From performative to predictive-performative design: A review of current trends in performance-based design and their impact on urbanism

In recent years, the impact of artificial intelligence (AI) has brought about a new paradigm shift in performance-based design, which we will call Predictive-Performative Design (PPD). This paper presents an overview of this new paradigm, as well as the inflection point at which interest among urban designers in this type of model began to emerge, resulting in what we will call Predictive-Performative Urban Design (PPUD). Our discussion of Predictive-Performative Urban Design (PPUD) is based on an extensive literature review and observation of experiences at the Massachusetts Institute of Technology (MIT) in Boston and the Austrian Institute of Technology (AIT) in Vienna. Finally, this paper examines how this new paradigm shift in performance-based design can change contemporary urban design and planning practices. We also identify research questions for future development in this field.

Impact of Artificial Intelligence in Customer Journey

The entire gamut of Customer journey is undergoing a massive transformation due to the rapid advancement of Artificial Intelligence (AI). Leveraging the power of AI , CRM & systems have refined the aspect of how businesses manage and optimize the customer journey. AI-powered systems have significant impact across various stages of the customer lifecycle by use of techniques such as machine learning to empower businesses to use systems that can analyse vast amounts of customer dataset in real-time, enabling them to gain deeper insights in customer behaviours, preferences, & sentiment. The AI-driven techniques help businesses to drive more personalized & targeted marketing campaigns, tailored recommendations, and extend efficient customer service leading ultimately to enhancing customer satisfaction and loyalty. Moreover, AI-powered systems have capabilities of offering predictive analytics which empower businesses to forecast customer behaviours and anticipate their needs. The capabilities help businesses in effective resource optimization and improve efficiency. For customer service AI-powered chatbots and virtual assistants are used to enhance engagement by providing instant responses and ability to handle resolving issues promptly.

Advances in critical care nephrology through artificial intelligence.

This review explores the transformative advancement, potential application, and impact of artificial intelligence (AI), particularly machine learning (ML) and large language models (LLMs), on critical care nephrology. AI algorithms have demonstrated the ability to enhance early detection, improve risk prediction, personalize treatment strategies, and support clinical decision-making processes in acute kidney injury (AKI) management. ML models can predict AKI up to 24-48 h before changes in serum creatinine levels, and AI has the potential to identify AKI sub-phenotypes with distinct clinical characteristics and outcomes for targeted interventions. LLMs and generative AI offer opportunities for automated clinical note generation and provide valuable patient education materials, empowering patients to understand their condition and treatment options better. To fully capitalize on its potential in critical care nephrology, it is essential to confront the limitations and challenges of AI implementation, including issues of data quality, ethical considerations, and the necessity for rigorous validation. The integration of AI in critical care nephrology has the potential to revolutionize the management of AKI and continuous renal replacement therapy. While AI holds immense promise for improving patient outcomes, its successful implementation requires ongoing training, education, and collaboration among nephrologists, intensivists, and AI experts.

Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects

Abstract Artificial intelligence (AI) has become increasingly prevalent and significant across many industries, including the dental field. AI has shown accuracy and precision in detecting, evaluating, and predicting diseases. It can imitate human intelligence to carry out sophisticated predictions and decision-making in the health-care industry, especially in endodontics. AI models have demonstrated a wide range of applications in the field of endodontics. These include examining the anatomy of the root canal system, predicting the survival of dental pulp stem cells, gauging working lengths, identifying per apical lesions and root fractures, and predicting the outcome of retreatment treatments. Future uses of this technology were discussed in terms of robotic endodontic surgery, drug–drug interactions, patient care, scheduling, and prognostic diagnosis.

Комуникацията на Gen Z: Търсене и oбмен на информация в eрата на изкуствен интелект във висшето образование

Today, people are favouring screens than genuine communication with one another which is crucial during global crises. This issue is particularly relevant in higher education, where Generation Z is currently being educated, and the focus is on capturing their attention, trust, and engagement. This analysis takes a multifaceted approach to understanding the human factors involved in seeking and utilizing information, especially in an environment that is increasingly dominated by artificial intelligence. It examines information behavior in higher education and the impact of artificial intelligence on information search and knowledge processing.

The impact of artificial intelligence on green innovation efficiency: Moderating role of dynamic capability

Environmental concerns have intensified the focus on sustainable innovation, with artificial intelligence (AI) emerging as a potential driver. However, the relationship between AI adoption and green innovation efficiency, particularly in emerging economies, remains unclear. This gap is crucial to address as it could reveal pathways to enhance sustainable development in rapidly growing markets. Here, we investigate how AI impacts green innovation efficiency in Chinese firms and examine the moderating effects of dynamic capabilities. Using panel data from 26,117 firm-year observations of Chinese A-share listed companies (2008-2022), we employ a novel text-based measure of AI adoption and assess green innovation efficiency through patent applications and R&D expenditure. Our findings reveal a significant positive relationship between AI adoption and green innovation efficiency, with dynamic capabilities enhancing this effect. The impact is stronger in non-state-owned and high-tech firms. These results demonstrate AI's potential as a catalyst for sustainable development and highlight the importance of organizational capabilities in realizing these benefits. Our study contributes to the evolving discourse on technology-driven sustainability, providing insights for both theory and practice in leveraging AI for green innovation in diverse economic contexts.

Does using artificial intelligence take the person out of personal statements? We can't tell

BackgroundUse of artificial intelligence to generate personal statements for residency is currently not permitted but is difficult to monitor. This study sought to evaluate the ability of surgical residency application reviewers to identify artificial intelligence–generated personal statements and to understand perceptions of this practice. MethodsThree personal statements were generated using ChatGPT, and 3 were written by medical students who previously matched into surgery residency. Blinded participants at a single institution were instructed to read all personal statements and identify which were generated by artificial intelligence; they then completed a survey exploring their opinions regarding artificial intelligence use. ResultsOf the 30 participants, 50% were faculty (n = 15) and 50% were residents (n = 15). Overall, experience ranged from 0 to 20 years (median, 2 years; interquartile range, 1–6.25 years). Artificial intelligence–derived personal statements were identified correctly only 59% of the time, with 3 (10%) participants identifying all the artificial intelligence–derived personal statements correctly. Artificial intelligence–generated personal statements were labeled as the best 60% of the time and the worst 43.3% of the time. When asked whether artificial intelligence use should be allowed in personal statements writing, 66.7% (n = 20) said no and 30% (n = 9) said yes. When asked if the use of artificial intelligence would impact their opinion of an applicant, 80% (n = 24) said yes, and 20% (n = 6) said no. When survey questions and ability to identify artificial intelligence–generated personal statements were evaluated by faculty/resident status and experience, no differences were noted (P > .05). ConclusionThis study shows that surgical faculty and residents cannot reliably identify artificial intelligence–generated personal statements and that concerns exist regarding the impact of artificial intelligence on the application process.

The Impact of Artificial Intelligence in Educational System

The way we teach and learn could be completely transformed by artificial intelligence (AI), which could make the process more efficient, personalized, and interesting. Artificial intelligence (AI) in education is the application of AI technologies, like natural language processing and machine learning, to improve the educational process. Through the use of algorithms, teachers are able to customize learning for each student by analyzing data, finding trends, and making predictions. Artificial intelligence (AI) and its potential impact on education have gained widespread attention because of ChatGPT's impressive performance on standardized academic assessments. For the development and implementation of AI-driven technologies in schools, colleges, and universities to be sustainable, a thorough knowledge of their effects on the current educational system is needed. The application of AI in education has a lot of potential advantages. One of the biggest benefits of AI in education is personalized learning, which allows students to learn at their own pace and in a fashion that best fits their learning preferences. This can improve student results. Chatbots, automated grading and evaluation, and intelligent tutoring systems can boost productivity, free up teachers' time, and deliver more precise and consistent feedback. Some of the challenges that need to be resolved are potential bias, cost, lack of confidence, and privacy and security concerns. AI can improve data analysis, empowering teachers to make facts-based decisions. There are some impacts of artificial intelligence in educational system that are covered in this review. These are the applications of artificial intelligence in automated assessment, intelligent tutoring systems, personalized learning, and collaborative teacher-student learning.

Macro View of the Place and Impact of Artificial Intelligence on the Design, Content, Delivery, and Student Engagement in Graduate Leadership Education Programs

Macro View of the Place and Impact of Artificial Intelligence on the Design, Content, Delivery, and Student Engagement in Graduate Leadership Education Programs

Research Progress and Trend Analysis of "Artificial Intelligence +" Education -- Visual Analysis Based on CiteSpace Knowledge Graph

With the rapid development of artificial intelligence (AI) technology, its application in the field of education has gradually gained popularity. Based on the CiteSpace visual knowledge graph analysis method, this paper makes a systematic visual analysis of the core literatures on artificial intelligence collected by CNKI from 2018 to 2023 in terms of the number of publications, authors, institutions, keyword co-occurrence, clustering and emergence. The analysis results show that in the past six years, the research in the field of "artificial intelligence + education" is in a prosperous period, and the current research hotspots are mainly focused on the application scope of artificial intelligence in the field of education, the impact of artificial intelligence on education and the development direction of artificial intelligence in the field of education in the future. The practical focus of "artificial intelligence + education" mainly focuses on labor education and the cultivation of students' labor literacy.

Artificial intelligence applications in cataract and refractive surgeries.

This review highlights the recent advancements in the applications of artificial intelligence within the field of cataract and refractive surgeries. Given the rapid evolution of artificial intelligence technologies, it is essential to provide an updated overview of the significant strides and emerging trends in this field. Key themes include artificial intelligence-assisted diagnostics and intraoperative support, image analysis for anterior segment surgeries, development of artificial intelligence-based diagnostic scores and calculators for early disease detection and treatment planning, and integration of generative artificial intelligence for patient education and postoperative monitoring. The impact of artificial intelligence on cataract and refractive surgeries is becoming increasingly evident through improved diagnostic accuracy, enhanced patient education, and streamlined clinical workflows. These advancements hold significant implications for clinical practice, promising more personalized patient care and facilitating early disease detection and intervention. Equally, the review also highlights the fact that only some of this work reaches the clinical stage, successful integration of which may benefit from our focus.

The Impact of Artificial Intelligence on the Global Workforce

The Impact of Artificial Intelligence on the Global Workforce