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Journal articles on the topic 'AI (Artificial Intelligence) tibbiyotda'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

NATASHA, ANJUM. "ARTIFICIAL INTELLIGENCE." GPH - International Journal Of Computer Science and Engineering 07, no. 01 (2024): 01–11. https://doi.org/10.5281/zenodo.10628529.

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<strong>This research paper provides a comprehensive examination of the evolution and impact of artificial intelligence (AI) across various domains. The study delves into the historical development of AI, tracing its origins from classical rule-based systems to the contemporary era of machine learning and deep neural networks. The paper explores the key technological advancements that have propelled AI research, discussing breakthroughs in natural language processing, computer vision, and reinforcement learning. This study's paper offers a nuanced exploration of the present-day state and futur

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S, Suresh, and Sasidharan C |. "Artificial Intelligence." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02419.

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Artificial Intelligence (AI) is a rapidly evolving field that aims to create systems capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI is categorized into narrow AI, which is designed for specific tasks like speech recognition and image processing, and general AI, which aspires to replicate human cognitive abilities across various domains. AI technologies, including machine learning, deep learning, and natural language processing, have significantly impacted industries such

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Layne, Armand. "Artificial intelligence (ai)." Intelligent Systems in Accounting, Finance and Management 13, no. 3 (2005): 179–81. http://dx.doi.org/10.1002/isaf.267.

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Tarekar, Sagar. "Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2533–35. http://dx.doi.org/10.22214/ijraset.2024.59386.

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Abstract: We have chosen this topic to spotlight on one of the most technological trend these days known as AI(Artificial Intelligent). Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI brings up images of high- functioning, human-like robots taking over the world, AI isn’t intended to replace humans. Therefore we will discuss some of the most important aspects related to AI in which it will help in a better understanding of Artificial Intelligent and both its advantages and disadvantages to be able to protect ourselves f

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Abduraxmanova, Iroda O'tkirbek qizi, and Bayramdurdi Sapayev. "Zamonaviy tibbiyot: raqamli inqilob va sun`iy intellekt yordamida sog`liqni tiklash." Multidisciplinary Journal of Science and Technology 5, no. 5 (2025): 1052–55. https://doi.org/10.5281/zenodo.15503634.

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Ushbu maqolada zamonaviy tibbiyot sohasida yuz berayotgan raqamli inqilob va sun`iy intellektning ahamiyati yoritiladi. Bugungi kunda sun`iy intellekt yordamida kasalliklarni erta aniqlash, aniq diagnostika qo`yish, shaxsiylashtirilgan davolash rejalarini tuzish imkoniyatlari kengaymoqda. Shuningdek, maqolada elektron tibbiy kartalar, raqamli monitoring tizimlari va telemeditsinaning sog`liqni saqlash tizimidagi o`rni haqida so`z boradi. Tibbiyotning raqamlashtirilishi bemor va shifokor o`rtasidagi aloqani soddalashtirib, xizmat ko`rsatish sifatini oshirishga xizmat qilayotgani ilmiy misollar

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Daisy, Anjali. "Artificial Intelligence." International Journal of Social Ecology and Sustainable Development 13, no. 1 (2022): 1–9. http://dx.doi.org/10.4018/ijsesd.292075.

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Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation, and robotic intervention. In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. It ends with summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery. Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medica

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Espinoza Molina, Nelly Daniela, Wellintong Segundo Intriago Alcivar, Angel Modesto Suing Nagua, and Juan Cerafin Velasquez Tonato. "Artificial Intelligence." Kronos – The Language Teaching Journal 5, no. 1 (2024): 93–106. https://doi.org/10.29166/kronos.v5i1.6639.

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Lately, Artificial Intelligence (AI) has become a milestone in educational issues, hence it has spread out to promote self-learning in the academic world. Undoubtedly, AI has brought many advantages although it might reduce the learners' critical thinking and problem-solving skills. Concordantly, the main purpose of this research was to ana lyze the pros and cons of using AI in English as a foreign language. Thus, sixty-nine professors from three universities in Ecuador participated in this research. A ten-question survey was applied to know how AI has been implemented into EFL classes. Google

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Bagnato, Vincenzo Paolo. "Artificial Intelligence for Design The Artificial Intelligence of Objects." Venturing into the Age of AI: Insights and Perspectives, no. 27 (October 1, 2023): 30–35. http://dx.doi.org/10.37199/f40002705.

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Artificial Intelligence (AI) is increasingly permeating various domains, revolutionizing traditional processes and opening new avenues for innovation. In the realm of design, AI holds immense promise, offering capabilities to augment human creativity, streamline workflows, and deliver personalized user experiences. This paper explores the intersection of AI and design, highlighting its transformative potential and key implications. Firstly, for instance, AI-powered design tools automate repetitive tasks, freeing up designers' time for more creative endeavors, while generative design algorithms

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Kaur, Ms Parminder. "Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 597–99. http://dx.doi.org/10.22214/ijraset.2023.56025.

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Abstract: A multidisciplinary discipline called artificial intelligence (A.I.) aims to automate jobs that currently need human intelligence. Artificial intelligence (AI), while not being well known, is a technology that is revolutionising all facets of existence. In order to rethink how we mix data, analyse it, and make decisions, this article attempts to inform laypeople about AI and urge them to use it as a tool in various fields. In this post, we briefly discussed artificial intelligence (AI), its principles, and potential applications.

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PANDEY, SHIVAM, and BANSI KANERIA. "Collision Between Military Artificial Intelligence and Civilian Artificial Intelligence." IOSR Journal of Computer Engineering (IOSR-JCE) 25, no. 06 (2023): 38–48. https://doi.org/10.5281/zenodo.10206091.

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The evolving terrain of Artificial Intelligence (AI) exhibits a dichotomous storyline as it diverges into the realms of military and civilian applications, each following its own unique path while becoming progressively interconnected. This research paper provides a critical analysis of the intersection between military artificial intelligence (AI), which is primarily focused on strategic defence purposes, and civilian AI, which primarily seeks to improve quality of life and economic productivity.1 This paper undertakes a thorough examination of contemporary advancements, regulatory structures

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Al Dajeh, Bakhit Moh’d. "Artificial Intelligence Governance." Journal of Ecohumanism 3, no. 4 (2024): 300–313. http://dx.doi.org/10.62754/joe.v3i4.3515.

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Research on AI governance is important towards potentially useful and constraining affordable misuse, reduce new risks and economic trends that threaten to disrupt public political and economic trends, and drive off target as interest in advanced AI systems and the norms, focal points, and use of new AI research are potentially transformative and governance institutions aim to prevent. Potential public benefits from policy community re-using AI research are enormous, including reduced economic instability. A fundamental challenge in AI governance is a cognitive framing challenge: governing AI

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Kumar, Sarvesh, Upasana Gupta, Arvind Kumar Singh, and Avadh Kishore Singh. "Artificial Intelligence." Journal of Computers, Mechanical and Management 2, no. 3 (2023): 31–42. http://dx.doi.org/10.57159/gadl.jcmm.2.3.23064.

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As we navigate the digital era of the 21st century, cyber security has grown into a pressing societal issue that requires innovative, cutting-edge solutions. In response to this pressing need, Artificial Intelligence (AI) has emerged as a revolutionary instrument, causing a paradigm shift in cyber security. AI's prowess resides in its capacity to process and analyze immense quantities of heterogeneous cyber security data, thereby facilitating the efficient completion of crucial tasks. These duties, which include threat detection, asset prioritization, and vulnerability management, are performe

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Johnson, Jeffrey, Peter Denning, Andrew Odlyzko, et al. "Artificial Intelligence: Foundational Technologies of Artificial Intelligence." Ubiquity 2025, July (2025): 1–10. https://doi.org/10.1145/3747355.

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More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy, psychology, logic, game theory, and cognitive science. We sketch out the enabling technologies for AI. They include search, reasoning, neural networks, natural language processing, signal processing and computer graphics, programming and conventio

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Petrović, Miroslav, Dušan Mladenović, and Mladen Nedeljkov. "Artificial Intelligence on the Road or Road to Artificial Intelligence?" Put i saobraćaj 71, no. 2 (2025): 27–34. https://doi.org/10.31075/pis.71.02.05.

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Artificial intelligence (AI) is last years the hottest buzzword, started from the world of information technologies and spreading across various areas of everyday activities where it can be applied. However, reality is that AI is with us for the longer time than we initially think of. In this paper we explain foundations and definitions of AI, followed by comparation of AI applied in transport, called Intelligent Transportation Systems (ITS). Main areas of state of the art AI-based technologies in road transport and traffic applications, already in use or ready to be used, are presented. At th

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Takama, Yasufumi. "Web Intelligence and Artificial Intelligence." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 1 (2017): 25–30. http://dx.doi.org/10.20965/jaciii.2017.p0025.

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This paper briefly summarizes the progress of artificial intelligence (AI) and web intelligence (WI) in the last two decades. The reason why we mention AI and WI together is because those have strong relationship with each other. This paper first summarizes the history of AI, and then gives brief description of supervised learning, which I think has played a major role in AI in the last two decades. As most history of WI is in the target decades, this paper first briefly describes major WI topics, and then gives more detailed description about information recommendation, which I think one of m

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Avetisyana, A. I. "Trusted artificial intelligence." Вестник Российской академии наук 94, no. 3 (2024): 200–209. http://dx.doi.org/10.31857/s0869587324030039.

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In this paper we discuss the problem of creating trusted artificial intelligence (AI) technologies. Modern AI is based on machine learning and neural networks and is vulnerable to biases and errors. Efforts are made to establish standards for the development of trusted AI technologies, but they have not yet succeeded. AI technologies trust can only be achieved with the appropriate scientific and technological base and corresponding tools and techniques for countering attacks. We present the ISP RAS Trusted AI Research Center results and propose a work model that can ensure technological indepe

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Siau, Keng, and Weiyu Wang. "Artificial Intelligence (AI) Ethics." Journal of Database Management 31, no. 2 (2020): 74–87. http://dx.doi.org/10.4018/jdm.2020040105.

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Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept

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Denning, Peter J., and Jeff Johnson. "Artificial Intelligence: Introducing the ACM Ubiquity Symposium on Artificial Intelligence." Ubiquity 2025, July (2025): 1–5. https://doi.org/10.1145/3747352.

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Artificial intelligence is changing our world. The arrival of ChatGPT in 2022 brought AI into the public spotlight with a dramatic new capability. A user can how engage in a fluent conversation in ordinary language with a computer. Suddenly many people want to know what AI is, whether it is safe, and what benefits it might bring. Artificial intelligence is defined to be a collection of machines and algorithms that perform tasks normally considered to require human cognition. Opinions and claims about the possible benefits and risks of AI are all over the map. In response to the confusion, the

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Darwish, Ashraf. "Explainable Artificial Intelligence: A New Era of Artificial Intelligence." Digital Technologies Research and Applications 1, no. 1 (2022): 1. http://dx.doi.org/10.54963/dtra.v1i1.29.

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Recently, Artificial Intelligence (AI) has emerged as an emerging with advanced methodologies and innovative applications. With the rapid advancement of AI concepts and technologies, there has been a recent trend to add interpretability and explainability to the paradigm. With the increasing complexity of AI applications, their a relationship with data analytics, and the ubiquity of demanding applications in a variety of critical applications such as medicine, defense, justice and autonomous vehicles , there is an increasing need to associate the results with sound explanations to domain exper

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Norvig, Peter. "Artificial intelligence: Everyday AI." New Scientist 216, no. 2889 (2012): iv—v. http://dx.doi.org/10.1016/s0262-4079(12)62784-5.

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Denning, Peter J. "Artificial Intelligence: Generative AI." Ubiquity 2025, July (2025): 1–19. https://doi.org/10.1145/3747356.

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Large language models (LLMs) are the first neural network machines capable of carrying on conversations with humans. They are trained on billions of words of text scraped from the internet. They generate text responses to text inputs. They have transformed the public awareness of artificial intelligence, bringing on reactions ranging from astonishment and awe to trepidation and horror. They have spurred massive investments in new tools for drafting texts, summarizing conversations, summarizing literature, generating images, coding simple programs, supporting education, and amusing humans. Expe

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Devedzic, Vladan. "Is this artificial intelligence?" Facta universitatis - series: Electronics and Energetics 33, no. 4 (2020): 499–529. http://dx.doi.org/10.2298/fuee2004499d.

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Artificial Intelligence (AI) has become one of the most frequently used terms in the technical jargon (and often in not-so-technical jargon). Recent advancements in the field of AI have certainly contributed to the AI hype, and so have numerous applications and results of using AI technology in practice. Still, just like with any other hype, the AI hype has its controversies. This paper critically examines developments in the field of AI from multiple perspectives - research, technological, social and pragmatic. Part of the controversies of the AI hype stem from the fact that people use the te

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Smith, Adam Leon. "Artificial Intelligence." ITNOW 64, no. 3 (2022): 47. http://dx.doi.org/10.1093/combul/bwac093.

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Warankar, Mayuri. "Generative Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31146.

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Generative AI is a cool tech that helps machines create new stuff that looks a lot like what humans make. Think of it like a computer artist who can paint pictures, write stories, compose music, and even make videos. This paper is all about explaining generative AI: where it came from, what it's doing now, and how it's used. It works by using fancy computer programs and smart algorithms to understand patterns in data and then make new things that fit those patterns. It's super important because it's changing how we do things in fields like healthcare, entertainment, and education. But, it's no

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M., N. O. Sadiku, R. Nelatury S., and Musa S.M. "Artificial Intelligence in Industry." Journal of Scientific and Engineering Research 8, no. 2 (2021): 45–52. https://doi.org/10.5281/zenodo.10574946.

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<strong>Abstract </strong>Artificial intelligence (AI) refers to computer systems that mimic human cognitive functions. AI-driven systems can discover trends, reveal inefficiencies, and predict future outcomes.  These characteristics enable informed decision-making and AI to be potentially beneficial for many industries. Industrial AI deals with the application of AI technologies to address industrial issues such customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis, and insight discovery.  This paper provides different applications

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Smith, Adam Leon. "Artificial Intelligence." ITNOW 64, no. 2 (2022): 65. http://dx.doi.org/10.1093/itnow/bwac065.

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MR, Anoop. "ARTIFICIAL INTELLIGENCE AND MARKETING." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 1247–56. http://dx.doi.org/10.17762/turcomat.v12i4.1184.

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Artificial intelligence (AI) has grown in recent years in many fields: research, industry, pharmaceuticals, automobile and education. In marketing, AI has also been effective. The aim of this article is to explore the usage and effect of AI in marketing. The authors posed two study concerns - which fields are applied to AI marketing and how AI impacts marketers. The authors carried out secondary data investigations with samples of AI used for marketing purposes in order to address these queries. The review of the illustration given demonstrates, while the implementations are manual, that AI is

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Rodrigues, Rowena, Anais Resseguier, and Nicole Santiago. "When Artificial Intelligence Fails." Public Governance, Administration and Finances Law Review 8, no. 2 (2023): 17–28. http://dx.doi.org/10.53116/pgaflr.7030.

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Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them

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Yadav, Narendra, Latika Sharma, and Urmila Dhake. "Artificial Intelligence: The Future." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–10. http://dx.doi.org/10.55041/ijsrem27796.

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Artificial intelligence is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines themselves. AI is not a new for the scientist, it was introduce in 1943 with artificial neurons model and get popular in 1950 due to “Turting test” the test was done to get answer that machine can think?, purposed by Alan Turing. Basically AI is categorized into three types, Artificial Narrow Intelligence, Artificial General Intelligence and

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Schuurman, Derek C. "Virtue and Artificial Intelligence." Perspectives on Science and Christian Faith 75, no. 3 (2023): 155–61. http://dx.doi.org/10.56315/pscf12-23schuurman.

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Two questions concerning artificial intelligence (AI) and virtue are explored. The first question is whether AI is capable of virtue, and the second question explores if AI can assist humans in the acquisition of virtue. It is argued that AI cannot be a moral agent and therefore cannot genuinely be virtuous. However, AI can perform behaviors that are in accordance with virtuous behavior. The notion of "virtue-by-proxy" is introduced in which virtuous programmers can strive to design AI programs that are trained to mimic certain virtues or behave in accordance with virtue. Next, it is argued th

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Sharma, Anupam, and Jasleen Kaur. "Artificial Intelligence Based System." Information Resources Management Journal 34, no. 2 (2021): 80–90. http://dx.doi.org/10.4018/irmj.2021040105.

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The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While there are now many AI applications that have been deployed in high-income country contexts, use of AI in resource-poor settings remains relatively nascent. With a few notable exceptions, there are limited examples of AI being used in such settings. However, there are signs that this is changing. Several high-profile meetings have been convened in recent years to discuss the development and deployment of AI applications to reduce poverty and deliver a broad range of critical public services. The autho

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Zurnali, Cut, and Wahjono Wahjono. "ARTIFICIAL INTELLIGENCE DALAM REKRUTMEN." Jurnal Ilmiah Infokam 18, no. 2 (2022): 119–24. http://dx.doi.org/10.53845/infokam.v18i2.327.

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Teknologi AI telah mencapai fase pengembangan berkecepatan tinggi. AI memungkinkan perusahaan untuk menghapus tugas yang berulang, membosankan, dan rentan terhadap kesalahan karena ambiguitas. AI membantu departemen SDM dengan mengotomatiskan dan menyelesaikan sebagian besar tugas SDM bernilai rendah ke lingkup pekerjaan yang lebih strategis. AI memiliki potensi untuk merevolusi pengalaman karyawan dalam berbagai cara, mulai dari perekrutan hingga manajemen bakat, dengan memproses sejumlah besar data secara cepat dan akurat. Banyak organisasi sudah mengintegrasikan teknologi AI dalam proses re

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Singh, Anant Manish, and Wasif Bilal Haju. "Artificial IntelligenceArtificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1210–20. http://dx.doi.org/10.22214/ijraset.2022.44306.

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Abstract: Artificial intelligence (A.I.) is a multidisciplinary field aimed at automating tasks that currently need human intelligence. Despite its lack of general familiarity, artificial intelligence (AI) is a technology that is revolutionizing every aspect of life. This article aims to educate laypeople about AI and encourage them to utilize it as a tool in many disciplines to rethink how we combine data, analyze it, and make choices. We quickly covered what artificial intelligence (AI) is, how it works, and how it may be applied in our daily lives in this article.

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Rezaev, Andrey V., and Natalia D. Tregubova. "Artificial Intelligence and Artificial Sociality." Epistemology & Philosophy of Science 56, no. 4 (2019): 183–99. http://dx.doi.org/10.5840/eps201956475.

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The paper aims to formulate theoretical and methodological foundations as well as basic research questions for studying intervention of artificial intelligence in everyday life of medical and life sciences in the 21 century. It is an invitation for professional philosophical, theoretical and methodological discussion about the necessity and reality of artificial intelligence in contemporary medical/life sciences and medicine. The authors commence with a proposition of their definitions of ‘artificial intelligence’ (AI) and ‘artificial sociality’ (AS). The next section of the paper deals with a

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Marinchak, Christina McDowell, Edward Forrest, and Bogdan Hoanca. "Artificial Intelligence." International Journal of E-Entrepreneurship and Innovation 8, no. 2 (2018): 14–24. http://dx.doi.org/10.4018/ijeei.2018070102.

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As marketers and consumers simultaneously adopt artificial intelligence (AI) services and applications, the dynamic of the process of exchange between the buyer and seller in the marketplace is being fundamentally altered. This article reviews the emerging patterns of adoption and rates of diffusion of AI applications by both marketers and consumers. On the marketers' side the authors will address the single most defining phenomenon that is affecting the marketer's role and function in the marketing process: the exponential increase in the number, variety and capability of marketing applicatio

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Reggia, James A., Garrett E. Katz, and Gregory P. Davis. "Artificial Conscious Intelligence." Journal of Artificial Intelligence and Consciousness 07, no. 01 (2020): 95–107. http://dx.doi.org/10.1142/s270507852050006x.

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The field of artificial consciousness (AC) has largely developed outside of mainstream artificial intelligence (AI), with separate goals and criteria for success and with only a minimal exchange of ideas. This is unfortunate as the two fields appear to be synergistic. For example, here we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We first briefly discuss several past hypotheses about the function(s) of human consciousness, and present our own hypothesis that short-term working memory and very rapid learning should be a

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Dayal, Aryeshwar. "Artificial Intelligence and Artificial Stupidity: The Inseparables." International Journal of Computer Science and Mobile Computing 13, no. 10 (2024): 54–57. http://dx.doi.org/10.47760/ijcsmc.2024.v13i10.006.

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Artificial intelligence (AI) has long been heralded for its ability to simulate human intelligence, enabling machines to perform complex tasks such as decision-making, problem-solving, and data analysis. However, alongside the advancements in AI, the concept of artificial stupidity (AS) has gained attention. AS refers to the limitations and errors made by AI systems, often resulting from incomplete data, biased algorithms, or the inherent restrictions placed on AI to simulate more human-like decision-making. These instances of "stupidity" can lead to nonsensical or harmful outcomes, especially

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Kravchuk, Oksana, Iryna Varis, and Yaroslava Zavolovych. "Artificial intelligence in recruitment." Galician economic journal 92, no. 1 (2025): 106–13. https://doi.org/10.33108/galicianvisnyk_tntu2025.01.106.

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The discussion about using artificial intelligence (AI) in recruitment is becoming increasingly relevant in the context of automating and enhancing the efficiency of the candidate search and selection process. The study aims to explore and analyze the impact of AI technologies on recruitment processes and human resource management. The research employs general scientific methods of theoretical generalization and analysis, including analysis, synthesis, comparative analysis, induction, deduction, and generalization, to investigate various aspects of AI application in recruitment. The hypothesis

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Fan, Yifei, and Frank Desvignes. "Artificial intelligence in China." Annales des Mines - Enjeux numériques N° 1, no. 1 (2018): 72–77. http://dx.doi.org/10.3917/ennu.001.0072.

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China has emerged as a major competitor of the United States in the field of artificial intelligence (AI), even though the total funding in AI startups in China is still lagging behind the US. The application of AI in China is already massive (especially in Fintechs) and has perhaps surpassed every other country in the world. The initiatives of the Chinese tech giants (Baidu, Alibaba and Tecent) are described along with government plans. Attention is drawn to China’s competitive advantages in AI and to use cases in insurance. Instead of just being innovative imitators, Chinese players have bec

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Syropoulos, Apostolos. "Artificial intelligence in education." Journal of Teacher Development and Education 1, no. 1 (2023): 19–25. https://doi.org/10.5281/zenodo.10257891.

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After a brief historical account of artificial intelligence (AI), I provide an overview of the ideas behind AI and the types of AI. Next, I present general ideas regarding the use of AI in education. In addition, I discuss how the problem-solving methods of AI can be used in education. In addition, I discuss the use of modern chatbots in education and I present its pros and its cons.  This position paper concludes with some thoughts on Human-Centered Artificial Intelligence, a relatively new trend in artificial intelligence.

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McGrow, Kathleen. "Artificial intelligence in nursing." Nursing 55, no. 4 (2025): 16–24. https://doi.org/10.1097/nsg.0000000000000165.

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Abstract: Artificial intelligence (AI) can enhance nursing practice by assisting in clinical decisions, patient outcomes, and operational efficiencies. This article explores the role of AI in decision-making, data management, and task automation within the Data, Information, Knowledge, Wisdom Framework. It also addresses data quality, ethical considerations, and the need for continuous AI system improvement, emphasizing AI as a valuable healthcare partner.

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Swain, Santosh Kumar. "Artificial Intelligence in Otorhinolaryngology." Annals of Indian Academy of Otorhinolaryngology Head and Neck Surgery 7, no. 2 (2023): 19–24. http://dx.doi.org/10.4103/aiao.aiao_9_23.

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Abstract Artificial intelligence (AI) is most likely to have a significant influence on medical research and clinical practice in the near future. Common uses of AI in health care include diagnosis of disease, complete drug research, and development, improved clinician–patient communication, transcription of medical records like prescriptions, and remote patient treatment. The search strategy was made with keywords of AI and otorhinolaryngology on Medline, Scopus, PubMed, and Google Scholar databases, and full-text articles available were reviewed. This review article is focused on the use of

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Shah, Yamini D., Shailvi M. Soni, and Manish P. Patel. "Artificial intelligence in healthcare." Indian Journal of Pharmacy and Pharmacology 8, no. 2 (2021): 102–15. http://dx.doi.org/10.18231/j.ijpp.2021.018.

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Artificial Intelligence (AI) is described as a field of science and engineering that is concerned with the artificial appreciation of what is generally referred to as prudent behavior and the formation of fascinations that demonstrate such conduct. AI is an expansive concept that encloses a series of advances (a considerable lot of which have been being worked on for quite a few years) that are expected to use human-like insight to handle the problems. Right now in combination with enhanced AI developments like extreme or significantly more engaged, we are experiencing a renewed enthusiasm for

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International, Journal of Medical Science and Advanced Clinical Research (IJMACR). "Artificial Intelligence in Dentistry." International Journal of Medical Science and Advanced Clinical Research (IJMACR) 8, no. 2 (2025): 219–25. https://doi.org/10.5281/zenodo.15394463.

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<strong>Aim:</strong> This study aims to explore the awareness and application of artificial intelligence [AI] among Dental Graduates and Post-graduates focusing on its potential to enhance awareness, diagnostic accuracy, treatment planning and patient outcome. <strong>Study Design</strong>: The research follows a cross sectional survey designed to collect data directly from graduates and postgraduates via google form. <strong>Place of Study</strong>: An E-Questionnaire was circulated amongst various Dental colleges of central India. <strong>Methodology</strong>: An structured E-Questionnaire

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Gheysen, F., and S. Rex. "Artificial intelligence in anesthesiology." Acta Anaesthesiologica Belgica 74, no. 3 (2023): 185–94. http://dx.doi.org/10.56126/75.3.21.

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Artificial intelligence (AI) is rapidly evolving and gaining attention in the medical world. Our aim is to provide readers with insights into this quickly changing medical landscape and the role of clinicians in the middle of this popular technology. In this review, our aim is to explain some of the increasingly frequently used AI terminology explicitly for physicians. Next, we give a summation, an overview of currently existing applications, future possibilities for AI in the medical field of anesthesiology and thoroughly highlight possible problems that could arise from implementing this tec

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Al Hendi, Khalid Dhafer, Mohammad Hamad Alyami, Mashary Alkahtany, Alok Dwivedi, and Hussain Ghanem Alsaqour. "Artificial intelligence in prosthodontics." Bioinformation 20, no. 3 (2024): 238–42. http://dx.doi.org/10.6026/973206300200238.

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Artificial Intelligence (AI) is gaining popularity worldwide owing to its significant impact in science and innovation. The role of AI in prosthodontics has increased significantly in recent years. AI is used for diagnosis, decision-making, prognosis, treatment planning and prediction of outcomes. Integration of AI into prosthodontics can enhance the accuracy and precision of dental practice. However, limited datasets are a major constraint in its practical applications.

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Shinde, Sachin, Yojana Patil, Amol Jamkhande, et al. "Artificial Intelligence in Dentistry." Journal of Indian Association of Public Health Dentistry 22, no. 1 (2024): 6–10. http://dx.doi.org/10.4103/jiaphd.jiaphd_272_22.

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Artificial intelligence (AI) is a technological breakthrough that is rapidly progressing all over the world. AI has a variety of uses in medicine and dentistry, ranging from data analysis to using neural networks for diagnosis. AI has received enormous attention and has gone through a transition stage from being a pure statistical tool to being one of the main drivers of modern medicine. We are at the dawn of a new era, and AI is undoubtedly the future of dental practice management. This aim article is to review the various applications of AI in all the specialties of dentistry.

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Huang, Ming-Hui, and Roland T. Rust. "Artificial Intelligence in Service." Journal of Service Research 21, no. 2 (2018): 155–72. http://dx.doi.org/10.1177/1094670517752459.

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Artificial intelligence (AI) is increasingly reshaping service by performing various tasks, constituting a major source of innovation, yet threatening human jobs. We develop a theory of AI job replacement to address this double-edged impact. The theory specifies four intelligences required for service tasks—mechanical, analytical, intuitive, and empathetic—and lays out the way firms should decide between humans and machines for accomplishing those tasks. AI is developing in a predictable order, with mechanical mostly preceding analytical, analytical mostly preceding intuitive, and intuitive mo

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Rios-Campos, Carlos, Sandra Marcela Zapata Vega, Mariuxi Ileana Tejada-Castro, et al. "Artificial Intelligence and Business." South Florida Journal of Development 4, no. 9 (2023): 3547–64. http://dx.doi.org/10.46932/sfjdv4n9-015.

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The general objective of the research was to determine the advances related to the artificial intelligence and business. The specific objectives of the research are to identify the software of AI used in business and the countries that invest more in AI. Methodology, in this research, 62 documents have been selected, carried out in the period 2018 - 2023; including: scientific articles, review articles and information from websites of recognized organizations. Results, every day new AI tools appear that support activities in today's businesses. Conclusions, about the general objective of the r

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Quiana Bradshaw. "Cybersecurity in Artificial Intelligence." World Journal of Advanced Research and Reviews 27, no. 1 (2025): 1735–44. https://doi.org/10.30574/wjarr.2025.27.1.2703.

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We are currently living in an emerging technological society in today’s society. AI has grown to a level where it is being used in a variety of fields, including banking, customer service, education, and law enforcement. What are some of the risks with cybersecurity issues and artificial intelligence? What kind of impact does artificial intelligence have on cybersecurity? Are there some drawbacks and limitations when using AI for cybersecurity? When using Artificial intelligence, it has provided many profound ways to implement measures of cybersecurity. There are some ways that AI improves the

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