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Journal articles on the topic 'AI knowledge gap'

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1

Bhattarai, Pragya, Prashant Nepal, Pravin Khatri, et al. "Knowledge, Attitude and Practice at AI in Education: Student’s Perception." NPRC Journal of Multidisciplinary Research 1, no. 7 (2024): 53–66. https://doi.org/10.3126/nprcjmr.v1i7.72463.

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As AI becomes a bigger part of our schools and universities, it's important to get a handle on how students feel about it, what they know, and how they use it. In this study, we combined surveys and interviews to dig into these areas. We asked students about their thoughts on AI, their understanding of how it works, and their experiences using AI tools in their classes. The interviews helped us understand their responses in more depth. We found that students are generally excited about AI and its potential to make learning more personalized. However, there’s a gap between their enthusiasm and
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Alharbi, Wael. "Mind the Gap, Please!" International Journal of Computer-Assisted Language Learning and Teaching 14, no. 1 (2024): 1–28. http://dx.doi.org/10.4018/ijcallt.351245.

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This mixed-methods study investigates the mismatch between student use of AI for academic tasks and teacher awareness in Saudi Arabian higher education. Surveys of 78 teachers and 243 students in English for Specific Purposes courses at public and private universities included Likert-scale items and an open-ended question on AI tools' benefits, challenges, and impact on learning and academic integrity. The study reveals a significant gap between teachers' perceptions of students' AI skills and the reality of AI integration, leading to discrepancies in judging student knowledge and assessment a
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Shuo Xu. "Innovating Artificial Intelligence for Workforce Preparation and Knowledge Development." Journal of Computer Science Research 6, no. 2 (2024): 12–17. http://dx.doi.org/10.30564/jcsr.v6i2.6663.

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Artificial intelligence (AI) transforms workplaces by streamlining operations, automating tasks, and enhancing decision-making. To bridge the knowledge gap in AI best practices, a workshop was created for executives, integrating change management principles. The workshop aimed to help participants understand AI's role, use AI tools for predictive analytics, and develop strategies for leveraging AI in change initiatives. This paper outlines the workshop's impact on building confidence, knowledge, and positive attitudes towards AI in the workplace.
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Ngoveni, Mbazima. "Bridging the AI Knowledge Gap: The Urgent Need for AI Literacy and Institutional Support." International Journal of Technologies in Learning 32, no. 2 (2025): 83–100. https://doi.org/10.18848/2327-0144/cgp/v32i02/83-100.

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Sharma, Rubal, Gaetano Di Petro, Sritha Rajupet, et al. "AI frontiers in oncology: Bridging the gap between humanity and machine." Journal of Clinical Oncology 42, no. 16_suppl (2024): e13657-e13657. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e13657.

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e13657 Background: Artificial intelligence (AI) is rapidly transforming medical education and how healthcare services are delivered. Oncology healthcare professionals (HCPs) can significantly benefit from the advances of AI including optimized diagnostic capabilities, treatment plans, resource allocation, patient outcomes and much more. The synergy between technology and healthcare is strengthening, heralding opportunities for a revolution in medical education and the broader healthcare industry. We developed an introductory AI workshop and conducted pre- and post-surveys, aiming to inform the
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Cash, Steven, and R. Young. "Bowyer: A Planning Tool for Bridging the Gap between Declarative and Procedural Domains." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 5, no. 1 (2009): 14–19. http://dx.doi.org/10.1609/aiide.v5i1.12357.

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Traditionally, there have been two large obstacles faced in attempting to apply AI techniques to games and other virtual environments. The first obstacle is the gap between the largely declarative representations used by many AI techniques and the largely procedural approaches used in virtual environments. The second obstacle is the gap between the skill sets and knowledge bases of the two domain experts with AI researchers often lacking experience using virtual environment APIs and development environments and virtual environments developers often lacking significant AI knowledge. In this pap
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Benk, Michaela, Léane Wettstein, Nadine Schlicker, Florian Von Wangenheim, and Nicolas Scharowski. "Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 26 (2025): 27197–205. https://doi.org/10.1609/aaai.v39i26.34928.

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Researchers, policymakers, and developers of artificial intelligence (AI) are actively collaborating to establish trustworthy AI standards that align with broader societal values, particularly in the context of large language models (LLMs). However, the critical discourse on bridging the vast knowledge gap between experts who shape and implement standards for LLMs and users whose values are at stake remains largely unaddressed. Taking a "bottom-up" perspective and using a mixed-method approach, we first conducted interviews (N = 12) to engage with users' perceptions of normative standards in t
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Dai, Boxiao. "Global Knowledge Inequality from AI-driven Media: A Study Based on Knowledge Acquisition Dilemmas in Developing Countries." Lecture Notes in Education Psychology and Public Media 80, no. 1 (2025): 168–73. https://doi.org/10.54254/2753-7048/2024.20494.

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In the era of rapid globalization and informatization, AI-driven media is profoundly transforming how information is disseminated. However, using AI algorithms in the media has introduced new disparities in knowledge access, especially impacting developing countries. To recognize these challenges, the paper aims to explore the global knowledge inequality in the age of AI-driven media: challenges for developing countries. The study focused on AI-driven media users in developing countries and adopted a qualitative analysis approach based on literature review. The article commences with a definit
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Oliveira, Gustavo, Matheus Argôlo, Carlos Eduardo Barbosa, et al. "Applying Knowledge Management to Support Artificial Intelligence Chatbot Applications." European Conference on Knowledge Management 25, no. 1 (2024): 582–90. http://dx.doi.org/10.34190/eckm.25.1.2482.

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As the diversity and complexity of Artificial Intelligence (AI) systems increase, there is a growing need for advanced knowledge representation methods to enhance decision-making capabilities. Existing research indicates a gap between AI and Knowledge Management (KM), emphasizing the necessity of coordinating learning and knowledge creation processes between humans and machines. Despite the widespread use of generative AI, as seen through the growing popularity of conversational AI tools like chatbots powered by Large Language Models in recent years, the absence of a theoretical framework for
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Rajabi, Enayat, and Somayeh Kafaie. "Knowledge Graphs and Explainable AI in Healthcare." Information 13, no. 10 (2022): 459. http://dx.doi.org/10.3390/info13100459.

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Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals. Knowledge graphs can be used in XAI for explainability by structuring information, extracting features and relations, and performing reasoning. This paper highlights the role of knowledge graphs in XAI models in healthcare, considering a state-of-the-art review. Based on our review, knowledge graphs have been used for explainability to detect healthcare misinformation, adverse drug reactions, drug-drug interac
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Ye, Ling, Hanita Hanim Ismail, and Azlina Abdul Aziz. "Bridging the AI Gap: A Needs Analysis of Chinese Pre-Service EFL Teachers in Developing Intelligent-Technological Pedagogical Content Knowledge." Arab World English Journal, no. 1 (April 25, 2025): 59–80. https://doi.org/10.24093/awej/ai.4.

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This study explores the readiness and learning needs of Chinese pre-service English as a Foreign Language teachers in developing Intelligent-Technological Pedagogical Content Knowledge for the effective integration of AI in English Language Teaching. Using a mixed-methods approach, quantitative data were collected from 253 pre-service English teachers, while qualitative insights were obtained from semi-structured interviews with eight participants. The findings show strong levels of Intelligent-Technological Knowledge and Intelligent-Technological Pedagogical Knowledge, but moderate levels in
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Rahul, Chidurala, Shriraam Karunakaran, Venkatesh Kartikeyan, Suresh Varadharajan, and Swetha Chandru. "Knowledge, attitudes and perceptions of AI in medicine among Indian doctors." Bioinformation 21, no. 05 (2025): 1061–68. https://doi.org/10.6026/973206300211061.

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Artificial Intelligence (AI) is revolutionizing healthcare. However, there is a significant lack of understanding among medical practitioners on AI. Therefore, it is of interest to evaluate the knowledge, awareness, experience and perceptions regarding AI among 250 medical students, doctors and members of the Indian Medical Association (IMA). A Questionnaire based survey revealed that though the participants were well aware of the general AI concepts, not even half felt that it would be helpful for diagnosis and treatment purposes. Also, 82.9% (n=207) reported not taking any formal courses on
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Evans, Ryan, and Neelu Sinha. "Bridging the Gap: Diversity Initiatives in AI Education." Proceedings of the AAAI Symposium Series 3, no. 1 (2024): 474–77. http://dx.doi.org/10.1609/aaaiss.v3i1.31260.

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This position paper highlights the critical need to enhance diversity in artificial intelligence (AI) education, focusing on K-8 students. As AI increasingly shapes our societal landscape, ensuring equitable access and participation in AI-related fields is essential. However, the current AI education landscape lacks inclusivity, resulting in underrepresentation and limited opportunities for marginalized groups such as racial and ethnic minorities, women, individuals with disabilities, and those from economically disadvantaged backgrounds. The paper advocates for a comprehensive approach to add
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Wahyunengsih, Wahyunengsih. "BRIDGING THE GAP: TEACHERS’ KNOWLEDGE AND APPLICATION OF AI-DRIVEN LEARNING PLATFORMS IN STEM-BASED ENGLISH LANGUAGE EDUCATION." English Review: Journal of English Education 13, no. 1 (2025): 67–80. https://doi.org/10.25134/erjee.v13i1.11155.

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This study aims to determine teachers' knowledge level about AI-driven learning platforms in STEM education, to determine the extent to which language teachers apply AI-driven learning platforms in STEM education, and to see whether the level of knowledge, attitudes and readiness of teachers is balanced with its application. This study uses a quantitative and qualitative design or mixed method and applies a correlation approach. The participants of this study involved 33 English teachers in Indonesia. The results of this study conclude that the level of knowledge of language teachers on AI-dri
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UCHIHIRA, NAOSHI, Koki Ijuin, and Takuichi Nishimura. "Digital Knowledge Twin: Bridging the Gap Between Physical and Cyber Knowledge Spaces by Generative AI." IIAI Letters on Informatics and Interdisciplinary Research 6 (2025): 1. https://doi.org/10.52731/liir.v006.351.

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Fisher, Eddie John Paul, and Eddie Fisher. "Creating New Knowledge Fast-the Partnership Role of Artificial Intelligence (AI) in the Human World." Business Management and Strategy 16, no. 2 (2025): 1. https://doi.org/10.5296/bms.v16i2.22693.

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Recent artificial intelligence (AI) developments provide the means to create new knowledge to enhance existing knowledge at individual, business, and societal levels much faster and more efficiently than ever before. There appears to be a widening gap between AI capabilities and people’s abilities to adopt/adapt technologies. This research investigated how this extending gap could be closed. Appropriate AI training needs to be provided to those working in industries such as education and manufacturing, with a rollout into other sectors. The main emphasis needs to be on improving the understand
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Ramaiyan, C., and P. Vanitha. "AI and Consumer Trust: Bridging the Gap through Ethical Marketing Practices." ComFin Research 13, S1-i1-Mar (2025): 126–29. https://doi.org/10.34293/commerce.v13is1-i1-mar.8666.

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Artificial Intelligence (AI) has revolutionized showcasing, empowering businesses to convey personalized encounters, optimize campaigns, and pick up profound bits of knowledge into shopper behavior. Be that as it may, the quick appropriation of AI moreover raises moral concerns, especially with respect to information security, straightforwardness, and believe. This article analyzes how ethical displaying sharpens can bridge the cleft between AI-driven advancement and buyer accept. It examines methods for executing ethical AI, recognizes challenges in keeping up customer accept, and gives notew
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Završnik, Jernej, Peter Kokol, Bojan Žlahtič, and Helena Blažun Vošner. "Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis." Electronics 13, no. 3 (2024): 512. http://dx.doi.org/10.3390/electronics13030512.

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The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984. Since then, research on AI in pediatrics has become much more popular, and the number of publications has largely increased. Consequently, a need for a holistic research landscape enabling researchers and other interested parties to gain insights into the use of AI in pediatrics has arisen. To fill this gap, a novel methodology, synthetic knowledge synthesis (SKS), was applied. Using SKS, we identified the most prolific countries, institutions, source titles, funding agencies, and research themes
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Hiremani, Dr. Sunil, and Dr. Anand Uppar. "Artificial Intelligence and Financial Literacy: Bridging the Gap for A Digital Future." International Journal of Advance and Applied Research 5, no. 44 (2024): 1–3. https://doi.org/10.5281/zenodo.14685447.

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<strong>Abstract</strong> Artificial Intelligence (AI) is revolutionising industries globally, including the financial sector. With the proliferation of AI technologies, an opportunity arises to address financial literacy challenges. Financial literacy, encompassing skills such as budgeting, investing, and personal finance management, is essential for economic well-being. Yet, a significant portion of the global population lacks these skills. This paper explores the intersection of AI and financial literacy, detailing how AI-driven tools can empower individuals to make informed financial decis
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Xin, Ling. "Open Source Marketing Strategy of AI Companies from the Perspective of the Knowledge Gap Hypothesis Research--On the Case of DeepSeek." Advances in Economics, Management and Political Sciences 176, no. 1 (2025): 42–47. https://doi.org/10.54254/2754-1169/2025.22109.

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The open source strategy publicly discloses core code and technology, reducing the threshold for accessing resources and promoting fair development in exploring cutting-edge technology fields such as AI, thus bridging the intelligence divide. It means there is a strong link between it and the knowledge gap hypothesis. The open source strategy of AI companies is both a technology sharing behaviour and a marketing method, and changes in the company's marketing strategy reflect the transformative commercialisation trend in the field of AI. This paper explores DeepSeek's open source strategy from
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Ball, Christopher, and Kuo‐Ting Huang. "Generative Artificial Intelligence (GAI) Divide: An Empirical Examination of the Micro–Macro Factors that Predict GAI Knowledge and Use." Proceedings of the Association for Information Science and Technology 60, no. 1 (2023): 878–80. http://dx.doi.org/10.1002/pra2.884.

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ABSTRACTGenerative artificial intelligence (GAI), a branch of AI capable of generating new content from human input has the potential to impact every aspect of our society. However, as with any emerging technology, the benefits and detriments of GAI may not be evenly distributed, leading to digital inequality. Aspects like AI access, effectively usage, and usage outcomes could define this emerging and evolving GAI divide. To fill the current research gap on GAI inequality, this study aims to empirically explore the factors that may contribute to a GAI divide to ensure that the benefits of this
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Salem, Mostafa Aboulnour, Ossama M. Zakaria, Eman Abdulaziz Aldoughan, Zeyad Aly Khalil, and Hazem Mohamed Zakaria. "Bridging the AI Gap in Medical Education: A Study of Competency, Readiness, and Ethical Perspectives in Developing Nations." Computers 14, no. 6 (2025): 238. https://doi.org/10.3390/computers14060238.

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Background: The rapid integration of artificial intelligence (AI) into medical education in developing nations necessitates that educators develop comprehensive AI competencies and readiness. This study explores AI competence and readiness among medical educators in higher education, focusing on the five key dimensions of the ADELE technique: (A) AI Awareness, (D) Development of AI Skills, (E) AI Efficacy, (L) Leanings Towards AI, and (E) AI Enforcement. Structured surveys were used to assess AI competencies and readiness among medical educators for the sustainable integration of AI in medical
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Dantas, Lucimar, Elsa Estrela, and Zhe Yuan. "What Can AI Learn from Teachers and Students? A Contribution to Build the Research Gap Between AI Technologies and Pedagogical Knowledge." European Journal of Education and Pedagogy 3, no. 6 (2022): 189–98. http://dx.doi.org/10.24018/ejedu.2022.3.6.509.

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Artificial Intelligence and related technologies represent a major advance in the human capacity to produce knowledge from different areas of knowledge. The application of these technologies in repetitive human activities that can be learned by a machine is already a constant in society, but their use in education still needs research, especially pedagogical research, which can make it clear how AI can contribute effectively to teaching and learning processes, since these processes are marked not only by cognitive characteristics, but also by cultural and emotional aspects. Having identified t
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Tahseen, Shazma, Husan Bano Channar, Urooj Bhatti, Tasleem Akhtar Laghari, Sana Areej, and Shah Muhammad Kamran. "Unveiling Healthcare Practitioners' Knowledge and Acceptance of Artificial Intelligence in Healthcare." Journal of Health and Rehabilitation Research 4, no. 2 (2024): 859–64. http://dx.doi.org/10.61919/jhrr.v4i2.889.

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Background: The rapid advancement of artificial intelligence (AI) is poised to revolutionize healthcare delivery systems profoundly. With its capacity to enhance diagnostics, treatment, and patient care, understanding AI's role and integration in healthcare is crucial for medical professionals and students. Objective: This study aims to assess the familiarity, knowledge, and comprehension of AI among medical students and physicians, identifying both challenges and opportunities associated with its use in medicine. Methods: A structured questionnaire, adapted from established scales, was used t
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Odumu, Wesley O., and Edu Bassey Enya. "Bridging AI Literacy Skill Sets Gap: A Critical Priority Now and the Future in Developing Countries." NEWPORT INTERNATIONAL JOURNAL OF SCIENTIFIC AND EXPERIMENTAL SCIENCES 6, no. 1 (2025): 16–26. https://doi.org/10.59298/nijses/2025/61.1626.

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The leveraging of AI literacy in our world today has become expedient due to the growing demand AI plays in our daily lives. AI literacy is a set of competencies that enables individuals to critically evaluate AI technologies, communicate and collaborate effectively with AI; and use AI as a tool online, at home, and in the workplace. The impact of AI technologies in critical infrastructures such as energy, education, technology, agriculture and healthcare has become crucial particularly in developing countries and as such demands public knowledge to hone their skills for greater efficiency and
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Bontridder, Noémi, and Yi hyun Kang. "The Role Assigned to Artificial Intelligence in Global Sustainability Governance." Georgetown Journal of International Affairs 26, no. 1 (2025): 27–35. https://doi.org/10.1353/gia.2025.a965774.

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Abstract: There exists a knowledge gap in the literature on how international actors address artificial intelligence (AI) in international sustainability governance. By addressing this gap and bringing a critical perspective, this paper aims to enrich discussions on AI within international relations. First, this paper shows that the development and deployment of AI-based technologies are mainly seen as an opportunity to achieve the Sustainable Development Goals (SDGs) in international politics, while their drawbacks are only considered to a limited extent. Second, this paper refers to the tend
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Anani-Bossman, Albert, Noel Nutsugah, and Justice Issah Abudulai. "Artificial Intelligence in Public Relations and Communication Management: Perspectives of Ghanaian Professionals." Communicare: Journal for Communication Studies in Africa 43, no. 1 (2024): 3–13. http://dx.doi.org/10.36615/jcsa.v43i1.2506.

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Artificial intelligence (AI) is presently transforming society and industries with significant implications for the public relations and communication profession. However, scholarship on this subject in Africa is lacking. This paper addresses this gap by investigating AI in the public relations and communication management industry in Ghana. It focuses on the knowledge, adoption, and impact of AI, as well as the perceived risks and challenges associated with the application of AI. The study used the quantitative method to gather data from 275 professionals. Results revealed that professionals
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Researcher. "NEURO-AI CONVERGENCE: BRIDGING THE GAP BETWEEN NEUROSCIENCE AND ARTIFICIAL INTELLIGENCE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 938–46. https://doi.org/10.5281/zenodo.13960969.

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This comprehensive article explores the burgeoning field of neuro-AI convergence, examining the intricate relationship between neuroscience and artificial intelligence. The article traces the historical context of this interdisciplinary domain, highlighting key milestones that have led to the current synergy between brain science and machine learning. It delves into how neuroscientific insights have informed AI development, particularly in neural network architectures, learning mechanisms, and memory systems. Conversely, the article discusses the significant contributions of AI to neuroscience
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Patil, Rajvardhan, Thomas F. Heston, and Vijay Bhuse. "Prompt Engineering in Healthcare." Electronics 13, no. 15 (2024): 2961. http://dx.doi.org/10.3390/electronics13152961.

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The rapid advancements in artificial intelligence, particularly generative AI and large language models, have unlocked new possibilities for revolutionizing healthcare delivery. However, harnessing the full potential of these technologies requires effective prompt engineering—designing and optimizing input prompts to guide AI systems toward generating clinically relevant and accurate outputs. Despite the importance of prompt engineering, medical education has yet to fully incorporate comprehensive training on this critical skill, leading to a knowledge gap among medical clinicians. This articl
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Ravindar, Reddy Gopireddy. "Securing AI Systems: Protecting Against Adversarial Attacks and Data Poisoning." Journal of Scientific and Engineering Research 11, no. 5 (2024): 276–81. https://doi.org/10.5281/zenodo.13253611.

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The widespread use of Artificial Intelligence (AI) in different fields has given a lot to take on this front but it is also inse Among this, the adversarial attacks and data poisoning have been on the top. We document state-of-the-art security mechanisms and techniques to protect AI systems from those threats. It surveys the adversarial attacks landscape, data poisoning mechanisms, and state-of-the-art defenses. The paper addresses this knowledge gap through a thorough review of the recent literature and empirical studies prepared with an objective in mind to give a holistic view on keeping AI
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Kamalesakumar V, Dhanush V, Sathish S, and Ms. Sathiyslakshmi. "AI-Powered Personal Knowledge and Content Management with Big-Brain." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 04 (2025): 1328–35. https://doi.org/10.47392/irjaeh.2025.0189.

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One of the major challenges of the digital era is information overload, which makes it difficult for users to structure information and find actionable insights based on dispersed sources of knowledge. Conventional, static knowledge management systems are ineffective in handling the dynamic nature of contemporary information streams. With the integration of AI, the process transforms into an engaging personal assistant. This AI-powered system serves as a "Big-Brain" by tapping into multiple streams of data through a web interface or browser extension in order to construct a rich, interconnecte
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Zulianti, Hajjah, Hastuti Hastuti, Eva Nurchurifiani, Tommy Hastomo, Aksendro Maximilian, and Galuh Dwi Ajeng. "Enhancing Novice EFL Teachers' Competency in AI-Powered Tools Through a TPACK-Based Professional Development Program." World Journal of English Language 15, no. 3 (2024): 117. https://doi.org/10.5430/wjel.v15n3p117.

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As artificial intelligence (AI) continues to advance rapidly, its application in educational settings is increasingly expanding. However, a substantial gap persists in the number of novice English as a Foreign Language (EFL) teachers who are well-prepared to integrate technology in learning activities. This research created a professional development (PD) program grounded in the technological pedagogical content knowledge (TPACK) framework to tackle this issue and enhance the AI-related teaching skills of novice EFL teachers. The study employed a quasi-experimental design, with 20 participants
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Nguyen, Nathan D. "Exploring the role of AI in education." London Journal of Social Sciences, no. 6 (September 17, 2023): 84–95. http://dx.doi.org/10.31039/ljss.2023.6.108.

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New advancements in machine learning and AI can be used to augment student learning and teacher capabilities. Examples of AI approaches in education include generating personalized student recommendations, autograding essays, and improving educational resources. AI programs intended to improve education can be categorized informally into three groups: Guidance, Learning, and Teacher. These categories are general and not necessarily mutually exclusive, but provide a framework for organization and further development. This paper intends to look at the past approaches of AI to improve education a
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Buakanok, Fisik Sean, and Pongwat Fongkanta. "DEVELOPING ALGORITHMS FOR KNOWLEDGE SYSTEMS DRIVEN BY AI TO SUPPORT PRODUCT DEVELOPMENT IN THAI LOCAL COMMUNITIES." Journal of Education and Innovation 27, no. 1 (2025): 1–17. https://doi.org/10.71185/jeiejournals.v27i1.278216.

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This study explores the implementation of artificial intelligence (AI) algorithms for personalized product development education in Thai rural communities. The research addresses skill deficiencies, promotes economic growth, and enhances educational accessibility through tailored learning experiences. Employing a One-Shot Case Design, the study engaged 50 volunteer participants from the Sop Prap Subdistrict, utilizing surveys, interviews, opinion questionnaires, and competency assessments for data collection. Analysis encompassed descriptive statistics to evaluate the effectiveness of the prop
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Costa, Charles, and Souvick Ghosh. "Empowering customer service with generative AI: enhancing agent performance while navigating challenges." Information Research an international electronic journal 30, iConf (2025): 150–58. https://doi.org/10.47989/ir30iconf47566.

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Introduction. As large language models (LLMs), such as GPTs, become more intelligent, a key area of exploration is how these technologies can improve the customer experience. Contrary to common belief, many consumers, including Gen Z, prefer human-provided customer service, illustrating the importance of human-AI collaboration in the space. Method. By leveraging the author’s real-world knowledge of enterprise knowledge management and customer service delivery, we reviewed numerous literature about AI, knowledge management, and service design and synthesised practical insights for industry prof
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Gupta, Shivam, Mahsa Motlagh, and Jakob Rhyner. "The Digitalization Sustainability Matrix: A Participatory Research Tool for Investigating Digitainability." Sustainability 12, no. 21 (2020): 9283. http://dx.doi.org/10.3390/su12219283.

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Rapidly increasing applications of Digitalization and Artificial Intelligence (D&amp;AI) are already impacting our day-to-day life substantially, along with social and economic prospects worldwide. The accelerating utilization of D&amp;AI has stirred the discussion concerning the responsible application of technologies for assisting the implementation of the Sustainable Development Goals (SDGs). D&amp;AI can raise productivity, lower costs, reduce resource intensity, and enable efficient public services. However, there are also risks and downsides that we all must identify and tackle to addres
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Sumit. "AI Health Care Chatbot." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 219–24. http://dx.doi.org/10.46501/ijmtst061241.

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Healthcare bot is a technology that makes interaction between man and machine possible by using Artificial Intelligence with the support of dialog flow. Now a day people tend to seek knowledge or information from internet that concern with health through online healthcare services. To lead a good life healthcare is very much important. But it is very difficult to obtain the consultation with the doctor in case of any health issues. The basic aim of this system is to bridge the vocabulary gap between the doctors by giving self-diagnosis from the comfort of one’s place. The proposed idea is to c
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Cheng, Ziyang. "AI-Mediated Communication: Public Perceptions and Attitudes Toward AI Generative Content in Journalism." Media Studies 2, no. 2 (2025): 1–11. https://doi.org/10.70267/ms.20250202.0111.

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This study explored public perceptions and attitudes toward AI-mediated communication (AI-MC), with a special focus on AI-generated content (AIGC) in journalism. As AI technologies become more embedded in current news production, understanding societal responses is crucial for guiding AI development and regulation. By reviewing selected empirical studies, this paper identified three major trends: (1) widespread public awareness of AIGC, (2) optimism about its capacity to enhance journalism, and (3) fear of AIGC from both the public and journalists’ perspectives. This study also illustrated a s
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Aldhahi, Monira I., Amal I. Alorainy, Mohamed M. Abuzaid, et al. "Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers." Healthcare 13, no. 4 (2025): 350. https://doi.org/10.3390/healthcare13040350.

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Background/Objectives: The current literature reveals a gap in understanding how rehabilitation professionals, such as physical and occupational therapists, perceive and prepare to implement artificial intelligence (AI) in their practices. Therefore, we conducted a cross-sectional observational study to assess the perceptions, knowledge, and willingness of rehabilitation healthcare providers to implement AI in practice. Methods: This study was conducted in Saudi Arabia, with data collected from 430 physical therapy professionals via an online SurveyMonkey questionnaire between January and Marc
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Fakhri, M. Miftach, Devi Miftahul Jannah, Andika Isma, Hajar Dewantara, and Aprilianti Nirmala S. "From Ethics to Impact: Modeling the Role of AI Perception Dynamics in the Relationship Between Ethics AI Practices, AI-Driven Societal Impact, and AI Behavioral Analysis." Journal of Applied Science, Engineering, Technology, and Education 7, no. 1 (2025): 56–68. https://doi.org/10.35877/454ri.asci3802.

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The rapid evolution of Artificial Intelligence (AI) has brought significant changes across various sectors, including healthcare, finance, and criminal justice, presenting both remarkable opportunities and complex ethical challenges. As AI becomes increasingly embedded in decision-making processes, concerns about individual rights, social equity, and public trust are growing, especially in high-stakes contexts. These ethical implications underscore the critical need for robust frameworks that emphasize AI transparency, accountability, and fairness to mitigate risks such as bias and ensure resp
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Dr., Vishalsingh Rameshsingh Shekhawat. "Evolution: AI Innovations for Modern Library Services." International Journal of Advance and Applied Research S6, no. 18 (2025): 552–54. https://doi.org/10.5281/zenodo.15260455.

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<em>Libraries have been essential hubs for accessing information and knowledge for users. With the onset of Artificial Intelligence (AI), libraries are undergoing a transformative evolution their users to enhance services in the modern era. This paper explores the integration of AI technologies into library services, highlighting its various innovations and implications for improving user experience and accessibility. This research paper elucidates the practical applications of AI in libraries and underscores its potential to revolutionize information dissemination and retrieval. One of the wa
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Gaziel, Avital, Yelena Lapidot, and Tzvia Bader. "Bridging the gap: Leveraging AI to enhance access to clinical trials for underrepresented and underserved populations with cancer." Journal of Clinical Oncology 42, no. 16_suppl (2024): e13701-e13701. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e13701.

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e13701 Background: National guidelines emphasize the crucial role of clinical trials (CTs) participation for all cancer patients. Despite this, significant barriers hinder access, particularly for underrepresented populations. Patients encounter obstacles such as geographic disparities and limited knowledge of tumor genetics, which impact their access to innovative CTs in metropolitan areas and academic centers. Furthermore, the increasing requirement for specific genetic profiles poses an additional challenge. This study aims to assess the impact of digital health platforms on improving acces
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Żywiołek, Justyna. "Building Trust in AI-Human Partnerships: Exploring Preferences and Influences in the Manufacturing Industry." Management Systems in Production Engineering 32, no. 2 (2024): 244–51. http://dx.doi.org/10.2478/mspe-2024-0024.

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Abstract The incorporation of artificial intelligence (AI) into industrial processes has seen substantial development, characterized by the shift from Industry 4.0 to the future concept of Industry 5.0. The article identifies a significant gap in knowledge regarding how openness in AI engagement influences consumer trust and confidence in news media. This gap highlights the need for further exploration into the relationship between transparency in AI processes and consumer perceptions. The research utilises a combination of qualitative and quantitative approaches, gathering insights from acade
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Kolesnik, Elena Andreevna, and Vladimir Gennadievich Stepanov. "Labor potential of engineering personnel in the russian oil and gas region: problems of development in the system of secondary professional education." Revista Amazonia Investiga 9, no. 27 (2020): 140–48. http://dx.doi.org/10.34069/ai/2020.27.03.14.

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The article studies urgent issues of development of the labor potential of engineering personnel and the role of secondary vocational education system. The consideration of the theoretical foundations of the «development of labor potential» concept became the basis for the formation of the author's vision of it as an irreversible and purposeful change in the consciousness and actions of workers, resulting in a new quality. The study of the peculiarities of the development of the labor potential of engineering personnel on the example of the Tyumen Region has shown that the system of secondary
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Johnson, Carla C., Sera Harold, Jessica Chestnut, Katherine Glover, and Janet B. Walton. "Addressing the Artificial Intelligence (AI) Talent Gap: Outcomes of the First U.S. Nationally-Registered AI Apprenticeship Program." Education Sciences 15, no. 3 (2025): 324. https://doi.org/10.3390/educsci15030324.

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The purpose of this study was to understand the motivations for and impact of participating in program coursework and related workplace-based learning and provide insights into the emerging field of AI workforce training. This study drew on adult learning theory and the acknowledgement that learning takes place within the context of a complex and uncertain career landscape as described by the chaos theory of careers. A cross-sectional survey research study was conducted to determine participant motivations for attending the AI program as well as the impact of participation in the AI program on
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Simon Kayode Okediji. "Framing of Generative AI in first-year wri ting course syllabus: A call for attitudinal shift." International Journal of Science and Research Archive 15, no. 3 (2025): 055–61. https://doi.org/10.30574/ijsra.2025.15.3.1378.

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As generative artificial intelligence (GenAI) or AI becomes ubiquitous, writing instructors and researchers face unique challenges in designing and formulating policies around AI in first-year writing classes. By analyzing syllabuses and assignment prompts of first-year composition classes in three US colleges, this essay investigates how writing instructors in the study frame GenAI in their official communications with students and the implications for transparency and adoption of AI for first-year writing. The study shows that policies around AI are generally weak or vague, reinforcing a gap
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Van Heerden, Imke, and Anil Bas. "Viewpoint: AI as Author – Bridging the Gap Between Machine Learning and Literary Theory." Journal of Artificial Intelligence Research 71 (June 6, 2021): 175–89. http://dx.doi.org/10.1613/jair.1.12593.

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Anticipating the rise in Artificial Intelligence’s ability to produce original works of literature, this study suggests that literariness, or that which constitutes a text as literary, is understudied in relation to text generation. From a computational perspective, literature is particularly challenging because it typically employs figurative and ambiguous language. Literary expertise would be beneficial to understanding how meaning and emotion are conveyed in this art form but is often overlooked. We propose placing experts from two dissimilar disciplines – machine learning and literary stud
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O, Mintser. "Formulating tasks, interpretation, and planning the implementation of research results using artificial intelligence in medicine." Artificial Intelligence 29, AI.2024.29(1) (2024): 10–17. http://dx.doi.org/10.15407/jai2024.01.010.

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Strategic issues of artificial intelligence use in medicine are considered. Summarizing, as of today, AI supports doctors but does not replace them. It is emphasized that AI in healthcare typically solves important, but rather limited in scope, tasks. Difficulties in further implementation of AI are analyzed. The aim of the study was to address the analytical generalization of AI capabilities in healthcare, analyze the problems of using the Universum of medical-biological knowledge as a global unified resource, and conceptually justify the need to structure medical-biological knowledge, introd
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Gupta, Harshul. "AI Powered Career Advisor: Bridging the Gap between the Aspirations and Opportunities." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2900–2908. https://doi.org/10.22214/ijraset.2025.68837.

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The job market is changing at an accelerating rate, creating challenges to both the future employees and organizations engaged in the hiring process. It is difficult for the majority of job applicants to make decisions about their careers based on guided advice from empirical observations because there are no suggestions based on empirical evidence. At the same time, organizations typically encounter challenges in selecting the appropriate candidates for particular positions. While traditional career guidance might pose some benefit, it typically fails to provide the tailored advice contempora
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Haftom Gebregziabher. "Exploring the Impact of AI-based Knowledge Management Tools in Higher Education Institutions." Communications on Applied Nonlinear Analysis 32, no. 6s (2025): 01–15. https://doi.org/10.52783/cana.v32.3214.

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This study looks at how well AI-based Knowledge Management (KM) tools work in Higher Education Institutions (HEIs). There is a big gap in knowing how these tools affect education. As education technologies change, it is important to understand how these tools help improve learning. We used a survey to gather views from four main groups: administrators, management, students, and teachers. Each group shared how they use and find KM tools helpful. We collected data through structured surveys and used different statistical tests like descriptive statistics, Mann-Whitney U tests, Kruskal-Wallis H t
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