Impact Of Artificial Intelligence Research Articles

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

The Impact of Artificial Intelligence on the Global Workforce

The Impact of Artificial Intelligence on the Global Workforce

Navigating the New Frontier: Recommendations to Address the Crisis and Potential of AI in the Classroom

Introduction The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges related to academic integrity. Literature Review The literature highlights AI's versatile applications in education, from facilitating research to acting as a tutor. Teaching Implications Educators can create AI-informed assignments that encourage active learning, critical thinking, and creativity. AI tools can be integrated as supports rather than substitutes for learning and foster an ethical framework within which students can explore AI's capabilities. Conclusion This review of AI's impact on education and the discussion of teaching strategies underscore the need for a nuanced approach to integrating AI in the classroom. By acknowledging both the challenges and opportunities presented by AI, educators can enhance teaching and learning while upholding academic standards.

Artificial Intelligence's Impact on the Development of Islamic Religious Education Learning at a Public Junior High School of Cilegon, Indonesia

This study was conducted with the aim of knowing the existence of Artificial Intelligence (AI) in improving the quality of learning in Islamic Religious Education subjects. This study used a qualitative approach by using field observations and interviews to collect data. The research shows that educational institutions have felt the impact of technological advances and AI and have used these tools to improve the teaching and learning process. Education professionals recognize that these advancements are very beneficial in making the learning process more efficient and effective. Personalized learning, automated assessments, virtual tutoring, smart content, and presentation translation are some examples of the benefits of AI for education.

The Impact of Artificial Intelligence (AI) on the Scope of Accountancy: Difficulties and Challenges in a Literature Review

The rapid advancement of Artificial Intelligence (AI) technologies has permeated various industries, ushering in transformative changes. One such sector experiencing significant shifts is accountancy. This paper presents a systematic literature review to discern the impact of AI on the domain of accountancy, aiming to unveil its repercussions, challenges, and difficulties. The review draws from a vast array of academic journals, white papers, industry reports, and conference proceedings. The results indicate that while AI streamlines tasks like data processing and forecasting, leading to enhanced efficiency and accuracy, it also brings about potential challenges. These challenges include the demand for new skill sets, fears of job displacement, ethical considerations, and the requirement for updated regulatory frameworks. However, a noteworthy observation during this review was the complexities and challenges in carrying out a systematic review itself, given the rapid technological advancements and diverse perspectives in the existing literature. Inconsistencies in terminologies, overlapping scopes, and the multifaceted nature of AI applications in accountancy further complicated the process. This paper offers a dual contribution: shedding light on the implications of AI in accountancy and providing insights into the intricacies faced while conducting a systematic literature review in a dynamic field.

Impact of Artificial Intelligence on Mechanical Engineering: A Comprehensive Overview

Artificial Intelligence (AI) is coming to mainstream and as emerged as a transformative force in various fields not just limited including mechanical engineering. This paper provides an overview of the profound impact of AI on the practice and evolution of mechanical engineering. The usage of AI technologies in the field of mechanical engineering has potential to revolutionize traditional design, manufacturing, and maintenance processes. With AI-powered design tools engineers now can generate optimized designs faster with greater efficiency, leading to enhanced product performance and reduced development cycles. Further, Predictive/forecasting method of AI in maintenance systems facilitate early detection of equipment failures, thereby minimizing downtime and maintenance costs.

Impact of Artificial Intelligence on Supply Chain Optimization

Impact of Artificial Intelligence on Supply Chain Optimization

Impact of Artificial Intelligence on Team Creativity: A Dual Stage Perspective

Impact of Artificial Intelligence on Team Creativity: A Dual Stage Perspective

Reshaping the World with Computer Technologies and Their Impact on the Development of Processes in the Field of Real Estate Trading

Purpose: This study examines artificial intelligence (AI) impact on real estate, highlighting its role in improving processes, enhancing customer experiences, and ensuring competitiveness while prioritising data protection and security. Methodology/Approach: A comprehensive literature review compared AI technologies in real estate, including drones, the Internet of Things (IoT), cloud computing, big data, 3D scanning, wearables, virtual and augmented realities, and robotics. It examines their impact on operations, focusing on AI in Heating, Ventilation and Air Conditioning (HVAC) systems for energy efficiency and comfort. Findings: AI enhances real estate development by optimising operations, transforming customer relationships, and improving energy efficiency and comfort with AI-controlled HVAC systems. Benefits include automated data processing, better decision-making, and optimised marketing strategies. Research Limitation/Implication: AI has great potential, but its implementation is in the early stages, including in real estate. Challenges include data protection, security, costs, and new hardware for HVAC systems. Broader real-case testing is needed. Originality/Value of paper: This paper broadens the perspective on AI's impact on real estate, showing how to implement AI in various processes. It improves performance and transforms customer experiences, setting new standards for property management.

CHALLENGES OF TECHNOLOGIZING TEACHING AND LEARNING AT UNIVERSITY

This narrative review addresses the challenge posed by the widespread extensive use of digital tools, i.e., technologization, in university education, highlighting three aspects. First, an overuse of digital tools by teachers is discussed, particularly slideware as the most frequently used technology. Concerns are raised as to how effective an extensive use of such a technology is in promoting learning. Additionally, the impact of electronic devices used by students, especially smartphones, is reviewed, and the decrease in comprehension and academic performance associated with reading digital texts and writing on digital media compared to printed format is highlighted. Finally, the impact of artificial intelligence (AI), specifically the ChatGPT language model, in education is discussed, addressing both its potential benefits and ethical and educational challenges. The integration and promotion of AI tools in education pose additional challenges, such as environmental impact, digital distractions, and educational exclusion. A need for a balanced approach which follows the precautionary principle is emphasized, so educational institutions take preventive action to protect individuals and the environment, as well as to avoid potential harm when scientific evidence about an activity or technology is uncertain or incomplete. The text underscores the importance of raising awareness about responsible use of technology in education and advocates for a critical and reflective approach in its application so Sustainable Development Goals may be achieved.

Impact of Artificial Intelligence on Supply Chain Efficiency in Turkey

Purpose: The aim of the study was to evaluate the impact of artificial intelligence on supply chain efficiency in Turkey. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Artificial intelligence (AI) has significantly enhanced supply chain efficiency in Turkey. AI applications such as predictive analytics, demand forecasting, and optimization algorithms have streamlined operations, reduced costs, and improved decision-making. Automation of repetitive tasks through AI has increased productivity and accuracy in inventory management and logistics. Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, dynamic capabilities theory & technology acceptance model (TAM) may be used to anchor future studies on the impact of artificial intelligence on supply chain efficiency in Turkey. Invest in continuous training and development programs for supply chain professionals to effectively utilize AI tools. Develop industry standards and regulatory frameworks for the ethical use of AI in supply chains. These policies should address data privacy, security, and the responsible use of AI technologies to protect stakeholders.

Impact of Artificial Intelligence in News Broadcast

Artificial Intelligence is novel technology which concise the world a single unites. AI helps to whole task of human brain and it help us in every sort of our work. In media and communication, the most booming industry in the world is also hold the hands of Artificial Intelligence. Social responsibility and dissemination of right information to the right people at the right time is the basic function of media. Emergence of AI in the media sector will overwhelm the journalists and opportunities. It creates more accuracy in reports but it will surely challenge the humanitarian attitude and journalistic ethics. Artificial Intelligence reduces the human effort and provides more clear and concise reports. The writing, vocal and visual synchronizing ability of Artificial Intelligence questioning the human power.

The Impact of Artificial Intelligence on Classroom Teaching in Universities

The Impact of Artificial Intelligence on Classroom Teaching in Universities

A Review of Research on the Impact of Artificial Intelligence on Learning

A Review of Research on the Impact of Artificial Intelligence on Learning

Artificial Intelligence Implementation in Agile Project Management Addressing Challenges and Maximizing Impact

The Agile methodology, with an 80% adoption rate, often faces challenges leading to project failures. This study investigates using artificial intelligence (AI) to overcome these challenges through a systematic literature review of 44 papers. It examines AI's impact on key Agile phases: envision, speculate, explore, adapt, and close. Findings highlight AI's critical role in improving project outcomes by addressing implementation challenges. AI tools aid in risk assessment and project selection during planning, enhance effort estimation and task allocation in speculation, improve team communication and technical issue resolution in exploration, optimize systems in adaptation, and provide valuable insights in closure. The paper offers guidance on effective AI integration to enhance Agile Project Management success.

Correction: The Impact of Artificial Intelligence on Health Equity in Dermatology

Correction: The Impact of Artificial Intelligence on Health Equity in Dermatology

Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact

AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial to address ethical concerns to ensure responsible and beneficial outcomes for individuals. This systematic review examines the ethical considerations surrounding the implementation and impact of artificial intelligence (AI) interventions in the field of mental health and well-being. To ensure a comprehensive analysis, we employed a structured search strategy across top academic databases, including PubMed, PsycINFO, Web of Science, and Scopus. The search scope encompassed articles published from 2014 to 2024, resulting in a review of 51 relevant articles. The review identifies 18 key ethical considerations, including 6 ethical considerations associated with using AI interventions in mental health and wellbeing (privacy and confidentiality, informed consent, bias and fairness, transparency and accountability, autonomy and human agency, and safety and efficacy); 5 ethical principles associated with the development and implementation of AI technologies in mental health settings to ensure responsible practice and positive outcomes (ethical framework, stakeholder engagement, ethical review, bias mitigation, and continuous evaluation and improvement); and 7 practices, guidelines, and recommendations for promoting the ethical use of AI in mental health interventions (adhere to ethical guidelines, ensure transparency, prioritize data privacy and security, mitigate bias and ensure fairness, involve stakeholders, conduct regular ethical reviews, and monitor and evaluate outcomes). This systematic review highlights the importance of ethical considerations in the responsible implementation and impact of AI interventions for mental health and well-being. By addressing privacy, bias, consent, transparency, human oversight, and continuous evaluation, we can ensure that AI interventions like chatbots and AI-enabled medical devices are developed and deployed in an ethically sound manner, respecting individual rights, promoting fairness, and maximizing benefits while minimizing potential harm.

AI Meets the Shopper: Psychosocial Factors in Ease of Use and Their Effect on E-Commerce Purchase Intention.

The evolution of e-retail and the contribution of artificial intelligence in improving algorithms for greater customer engagement highlight the potential of these technologies to develop e-commerce further, making it more accessible and personalized to meet individual needs. This study aims to explore the psychosocial factors (subjective norms; faith; consciousness; perceived control) that affect AI-enabled ease of use and their impact on purchase intention in online retail. We will also assess the mediating effect of AI-enabled ease of use between psychosocial factors and consumer purchase intention. A quantitative methodology was used, and 1438 responses were collected from Portuguese consumers on e-retail. Structural equation modeling was used for the statistical treatment. The findings indicate that subjective norms do not positively impact AI-enabled ease of use, whereas factors such as faith, consciousness, and perceived control do enhance it. Furthermore, AI-enabled ease of use itself boosts purchase intention. Additionally, the effects of subjective norms, faith, consciousness, and perceived control on purchase intention are significantly enhanced when mediated by AI-enabled ease of use, highlighting the crucial role of usability in shaping consumer purchase behavior. The contribution of this study has been made through the formulation model that provides a systematized perspective about the influencers of purchase intentions and extends the knowledge about the impact of artificial intelligence in e-retail. Furthermore, this study offers insights into the impact of artificial intelligence in e-commerce-artificial intelligence directly affects purchase intentions and plays an important mediator role in the interaction mechanisms between psychosocial factors and purchase intentions.

Revolutionizing Healthcare and Drug Discovery: The Impact of Artificial Intelligence on Pharmaceutical Development

Artificial intelligence (AI) is reshaping drug discovery and delivery in the pharmaceutical industry, fundamentally transforming traditional methods. In drug discovery, AI algorithms rapidly analyze vast biological and chemical datasets to identify potential drug candidates with unprecedented accuracy. Machine learning models predict compound efficacy and safety, accelerating earlystage drug development. AI also facilitates drug repurposing, uncovering new therapeutic uses for existing medications. At the drug delivery front, AI optimizes formulations and systems, enabling targeted and personalized approaches. Intelligent algorithms enhance the understanding of pharmacokinetics and pharmacodynamics, guiding the development of precision medicine strategies. This integration of AI not only expedites innovative drug discovery but also refines delivery mechanisms, promising more effective and tailored treatments with the potential to revolutionize patient care. The data-processing capabilities of AI drive digitalization and widespread utilization. Applications in drug discovery, development, repurposing, and clinical trials aim to alleviate human workload, expedite objectives, and foster innovation. Despite promising prospects, concerns about job displacement and stringent regulations accompany AI implementation. Emphasizing the intent to augment human labor rather than replace it entirely, the industry anticipates that AI will become a pivotal resource, propelling efficiency, innovation, and advancements in healthcare. This review emphasizes the role of AI in transforming drug discovery and delivery

The Impact of Artificial Intelligence on Corporate Governance

The advent of artificial intelligence (AI) marks a pivotal shift in the landscape of corporate governance, catalyzing a reevaluation of traditional frameworks and necessitating a forward-looking approach to decision-making, risk management, and ethical considerations. This study explores the multifaceted impact of AI on corporate governance, offering a nuanced analysis of how AI technologies are transforming the operational, strategic, and ethical dimensions of organizations. The research underscores the potential of AI to enhance decision-making processes, optimize operational efficiencies, and foster innovation by providing advanced analytical capabilities and predictive insights. However, it concurrently highlights the emergence of unprecedented challenges, including data privacy concerns, algorithmic bias, and the need for robust regulatory frameworks to mitigate risks associated with AI deployment. The article advocates for a proactive stance in redefining corporate governance models to accommodate the disruptive nature of AI, emphasizing the integration of ethical considerations and transparency in AI applications. It calls for a collaborative effort among corporate leaders, policymakers, and stakeholders to develop governance structures that not only leverage AI’s potential but also safeguard against its inherent risks. The study’s recommendations include the establishment of ethical AI guidelines, the adoption of transparent AI practices, and the continuous monitoring of AI systems to ensure their alignment with corporate governance objectives and societal values. However, it is important to note that the approach and methods used in this study are based on a qualitativeliterature review and, therefore, the generalization of the findings across different sectors and corporate governance frameworks may be limited. Additionally, the rapidly evolving nature of AI technologies poses inherent challenges to keeping up with emerging trends and potential risks.