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Journal articles on the topic 'AI Talent'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Cai, Can. "Training Mode of Innovative Accounting Talents in Colleges Using Artificial Intelligence." Mobile Information Systems 2022 (July 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/6516658.

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With the rise of big data revolution, a new generation of artificial intelligence (AI) is gaining momentum and the AI era will come strongly. However, the accounting profession is also showing a booming trend in colleges and universities, which, as the main base of higher education talent training, also undertake a considerable part of the task of training accounting talents. As traditional accounting is gradually replaced, finance professionals are being forced to gradually change to management talents. In the information era, how to realize the transformation of talent cultivation mode of fi

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2

Alam, Mohammad Sarwar, Kazi Sirajum Munira, Md Sahidur Rahman, Md Aftab Uddin, and Ayesha Akter. "Artificial Intelligence (AI) for Talent Acquisition." International Journal of Human Capital and Information Technology Professionals 13, no. 1 (2024): 1–18. http://dx.doi.org/10.4018/ijhcitp.303950.

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The present study's aim is to investigate the intention to use and actual use of a artificial intelligence (AI) for talent acquisition in Bangladesh. The authors used deductive reasoning approach in a positive paradigm. The study finally collected 243 responses through self-administered questionnaire and used the PLS-based structural equation modeling to analyze the data. The findings of this study revealed that each of the predictors is significantly associated with the intention to use and actual use of AI for recruiting talents, excepting the influence of facilitation conditions on actual u

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Aruna, Dr Chittineni. "Revolutionizing Talent Scouting with AI and Blockchain." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43025.

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Identifying and nurturing emerging talent requires effective scouting mechanisms, yet traditional methods suffer from significant limitations such as subjective evaluations, lack of transparency, and ineffective progress monitoring. These challenges hinder the fair and efficient identification of high-potential individuals, particularly in fields like artificial intelligence, blockchain, and other cutting-edge technologies. This study presents a novel platform that leverages AI analytics and Blockchain tokenization to overcome the constraints of conventional talent identification and investmen

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He, Ling, and Hashima Binti Hamid. "The suitability of skilled talent training in higher vocational colleges based on AI and 5G network connection in the context of educational transformation and upgrading." Journal of Infrastructure, Policy and Development 8, no. 12 (2024): 6964. http://dx.doi.org/10.24294/jipd.v8i12.6964.

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The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of

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Yang, Fang, Junde Chen, Xiaowei Ge, and Shuyu Jiang. "Exploring Innovative Pathways for Cultivating Brand Marketing Talent through Virtual Digital Humans." Contemporary Education and Teaching Research 6, no. 5 (2025): 178–83. https://doi.org/10.61360/bonicetr252018280505.

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The deep integration of AI technology with the virtual digital human industry is driving a transformative shift in brand marketing from “digitalization” to “intelligentization”. Based on emotional practice theory, the industry-education integration model, and AI technology applications, this paper explores the integration mechanism of virtual digital human technology in the educational ecosystem and its innovative value in cultivating brand marketing talents. Through a comprehensive education platform that integrates government, industry, academia, research, and application, and serves as a ta

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Bingbing, Chen, Zhang Lei, Li Menghan, and Hu Xinyu. "Research on "AI+X" Composite Non-heritage Exhibition Design Talents Cultivation." Journal of New Media and Economics 1, no. 5 (2024): 13–20. https://doi.org/10.62517/jnme.202410504.

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In April 2018, the Ministry of Education proposed that it would gradually promote the construction of a new model of "AI+X"composite professional training. the current situation of non-heritage protection and the development of AI technology, as well as the emergence of "AI+X" composite talent cultivation mode, have brought new opportunities and challenges for non-heritage exhibition design. This study aims to analyse the current situation of "AI+X" technology in non-heritage exhibition design, discuss the necessity of talent training, and propose corresponding training strategies to inject ne

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Pillai, Rajasshrie, and Brijesh Sivathanu. "Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations." Benchmarking: An International Journal 27, no. 9 (2020): 2599–629. http://dx.doi.org/10.1108/bij-04-2020-0186.

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PurposeHuman resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.Design/methodology/approachThis study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers

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Chernbumroong, Sainatee, Suchada Phunsathitwong, Pongsawat Premphet, Sakgasem Ramingwong, and Jutamat Jintana. "Development of a strategic roadmap for plasma technology in Thailand: The hub of talents initiative." Revista Amazonia Investiga 13, no. 84 (2024): 9–27. https://doi.org/10.34069/ai/2024.84.12.1.

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This paper presents the development process and results of a strategic roadmap for plasma technology in Thailand, as part of the Hub of Talents for Plasma Technology initiative. Through a comprehensive methodology including literature review, expert interviews, workshops, and stakeholder consultations, a 5-year roadmap was created to guide research, development, and application of plasma technology in the country. The roadmap identifies six priority areas: research and development in plasma science and technology, industrial applications, upskilling existing talent, capacity building for new t

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Baratelli, Giulia, and Elanor Colleoni. "Does Artificial Intelligence (AI) Enabled Recruitment Improve Employer Branding?" International Journal of Business and Management 17, no. 2 (2022): 45. http://dx.doi.org/10.5539/ijbm.v17n2p45.

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Extant research over the last decades has stressed how artificial intelligence (AI) can be used to boost the recruitment process and to attract the best talents. Although AI is increasingly used for talent acquisition, with 36% of hiring processes expected to have a pre-screen through AI (Oracle, 2019) in the next two years, we have limited knowledge of how AI shapes talents&rsquo; perceptions about the organisation to which they are applying to. The goal of this research is to investigate if and how the usage of AI in the recruitment process improves employer attractiveness and employer b

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Hamid, Aditia Putra, Yanuar Zulardiansyah Arief, Brainvendra Widi Dionova, and Rosyid Ridlo Al-Hakim. "A Fuzzy Expert System for Talent Pool Management in Indonesia." A Fuzzy Expert System for Talent Pool Management in Indonesia 1, Vol. 1 No. 2 (2023): July 2023 (2024): 12. https://doi.org/10.59890/ijma.v1i2.73.

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Addressing the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) situation, one of the company's strategies is to design a talent management strategy program to identify talent needs based on the company's vision, mission, strategy, and values. Talent is the knowledge and abilities possessed by a person relevant to the company's needs, supporting the company's goals and strategies. The company has a system that designs and manages the talents of its employees to acquire and retain their employees, namely talent management (TM). Talent management is an organizational scheme that systema

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Dr. Abraham Rajan and Dr. V. Nagajothi. "AI-Powered Talent Management Strategies in HR: An Analytical Study." International Journal of Scientific Research in Modern Science and Technology 3, no. 12 (2024): 01–03. https://doi.org/10.59828/ijsrmst.v3i12.275.

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Artificial Intelligence (AI) is revolutionizing Human Resource (HR) management by enhancing talent acquisition, employee engagement, performance evaluation, and workforce planning. This study explores AI-powered talent management strategies, analysing their effectiveness, advantages, and challenges. By examining AI applications in HR, this paper highlights how organizations leverage AI-driven insights to improve efficiency, reduce biases, and enhance decision-making processes. Furthermore, the study delves into ethical concerns and the future of AI in talent management. Keywords: Artificial In

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Garg, Chanchal. "AI-Powered Talent Acquisition Platform." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47414.

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Abstract -The fast-paced changing job market creates serious challenges in talent attraction, requiring more effective and data-centric methods to automate the recruitment process. This paper introduces JobPathway, a full-fledged MERN stack application to maximize talent attraction using AI-driven resume parsing and job and profile reminder personalization. Utilizing sophisticated machine learning algorithms, JobPathway processes candidate profiles, identifies them with suitable job openings, and provides timely alerts in order to increase interactions and avoid lost opportunities. Further, th

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Zhang, Elsie Yi An. "Digitalizations Enhancement in HR Practices: The Impact of Incorporating AI in the Process of Recruitment and Selection." Advances in Economics, Management and Political Sciences 120, no. 1 (2024): None. http://dx.doi.org/10.54254/2754-1169/120/20242377.

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Many organizations desires to attract the most value-adding talent has pushed their increased adoption of artificial intelligence in the processes of recruitment and selection. As AI can be generated into tools to conduct an analysis of applicants and provide an overview, it reduces the recruiters time allocation on administrative tasks to focus on making more advanced decisions to execute the businesss desired strategic directions and developments. This paper mainly examines the impact of AI in the talent acquisition processes on the three aspects of practical, ethical, and strategic impacts.

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P. Hameem Khan, Christo Laswin A, Abhi Vanthan R, and Pranavan. "Navigating the AI Landscape in Talent Acquisition: Examining Managerial Awareness and Perceived Talent Management Impact." Metallurgical and Materials Engineering 31, no. 4 (2025): 220–25. https://doi.org/10.63278/1427.

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This study investigates the awareness, adoption factors, and perceived impact of Artificial Intelligence (AI) within the talent acquisition (TA) process among Human Resource (HR) and Talent Acquisition managers. Amidst an evolving hiring landscape characterized by competition for skilled labor, AI has emerged as a transformative force in TA. This research employs a deductive and descriptive approach, utilizing a self-administered questionnaire distributed to 280 HR and TA professionals, complemented by a comprehensive literature review and semi-structured interviews. The quantitative data, col

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Jang, Jiyoung, and Suna Kyun. "An Innovative Career Management Platform Empowered by AI, Big Data, and Blockchain Technologies: Focusing on Female Engineers." Webology 19, no. 1 (2022): 4317–34. http://dx.doi.org/10.14704/web/v19i1/web19284.

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With the advent of the fourth industrial revolution, professional resource management in the engineering sector has been gaining importance. And countries around the world are paying special attention to realizing and using the potential of female engineering talent that has been on the rise. Nevertheless, there is still a leaky pipeline of female engineering talent. As such, this study aims to provide a new platform that incorporates the latest technologies to promote female engineering talent. First, it introduces the existing career management platforms developed for female engineering stud

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Torres-Bernal, Corina, and Dauwy Zailah-Bernal. "Innovación y transformación: el rol de la inteligencia artificial en la gestión del talento humano en organizaciones disruptivas." Revista Politécnica 21, no. 41 (2025): 78–89. https://doi.org/10.33571/rpolitec.v21n41a4.

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En el ámbito de las organizaciones disruptivas, se investigan las implicaciones de la inteligencia artificial (IA) en la gestión del talento humano. Los objetivos fundamentales de este estudio comprenden definir con precisión la IA y su aplicación en la gestión del talento, analizar exhaustivamente los beneficios y desafíos que conlleva en este contexto, examinar el estado actual de su implementación en dichas organizaciones, identificar los retos éticos y prácticos que se presentan, y proponer soluciones viables. La metodología utilizada se basa en una revisión detallada de la literatura exis

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Oluwatamilore Popo – Olaniyan, Oluwafunmi Adijat Elufioye, Franciscamary Chinyere Okonkwo, Chioma Ann Udeh, Tobechukwu Francisca Eleogu, and Funmilola Olatundun Olatoye. "AI-DRIVEN TALENT ANALYTICS FOR STRATEGIC HR DECISION-MAKING IN THE UNITED STATES OF AMERICA: A REVIEW." International Journal of Management & Entrepreneurship Research 4, no. 12 (2023): 607–22. http://dx.doi.org/10.51594/ijmer.v4i12.674.

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This paper review ways AI and analytics are transforming HR decision-making in American organizations. It explores the adoption of these technologies in the U.S., their impact on optimizing talent management, and the broader implications for organizational growth and employee well-being. In the rapidly evolving landscape of Human Resources (HR), the integration of Artificial Intelligence (AI)-driven talent analytics has emerged as a transformative force. This review explores the application of AI-driven talent analytics in the United States, specifically focusing on its role in strategic HR de

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Yang, Wenjie, Xia Ma, Runjia Lian, and Weikun Zhang. "Research on the Optimization of the Three-In-One Talent Training Mode of Learning-Research-Application: Based on AI Technology." East African Scholars Journal of Education, Humanities and Literature 8, no. 07 (2025): 290–97. https://doi.org/10.36349/easjehl.2025.v08i07.004.

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In the era of rapid AI development, optimizing the integrated talent cultivation model of 'learning, research, and application' to meet the demands of the new era has become a critical issue. This paper uses the business administration major as a case study to explore the application of AI technology in this model. It first examines how AI technology enhances the learning, research, and application processes, including intelligent optimization of the learning process, innovative support for research, and deepening practical applications. The paper then constructs an AI-based talent cultivation

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Tripathi, Vivek Mani. "The Future of Talent Management: The Promise and Challenges of Artificial Intelligence, Big Data and Machine Learning." NHRD Network Journal 18, no. 1 (2025): 77–87. https://doi.org/10.1177/26314541251325706.

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There are several trends impacting talent management. These include the use of artificial intelligence (AI), big data (BD) and machine learning (ML) in various talent management processes; changes in the nature of work and the workplace; and the ever-changing demands on leaders as organisations grapple with several changes internally and externally. In this article, we restrict the review to the impact of using AI, BD and ML in various talent management processes. Studies dealing with the used cases of AI in recruitment are considered. The key advantages and extent of the impact for the future

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Faqihi, Ali, and Shah Jahan Miah. "Artificial Intelligence-Driven Talent Management System: Exploring the Risks and Options for Constructing a Theoretical Foundation." Journal of Risk and Financial Management 16, no. 1 (2023): 31. http://dx.doi.org/10.3390/jrfm16010031.

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AI (Artificial intelligence) has the potential to improve strategies to talent management by implementing advanced automated systems for workforce management. AI can make this improvement a reality. The objective of this study is to discover the new requirements for generating a new AI-oriented artefact so that the issues pertaining to talent management are effectively addressed. The design artefact is an intelligent Human Resource Management (HRM) automation solution for talent career management primarily based on a talent intelligent module. Improving connections between professional assessm

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Khan, Sania, Shaha Faisal, and George Thomas. "Exploring the nexus of artificial intelligence in talent acquisition: Unravelling cost-benefit dynamics, seizing opportunities, and mitigating risks." Problems and Perspectives in Management 22, no. 1 (2024): 462–76. http://dx.doi.org/10.21511/ppm.22(1).2024.37.

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The rise in talent management complications led organizations to rely on the latest technologies to automate their routine HRM tasks through AI. This study proposed to examine fundamental aspects of AI in talent acquisition (cost-benefit, opportunities, and risk factors) from the context of strategic analysis and decision-making. 52 respondents from HRM and the information technology departments from fifteen large dairy enterprises, each with more than one thousand employees, were included in the focus group discussion. Both departments were included in the focus group discussion as they heavi

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Garcia, Aline Ferreira Guares. "THE IMPACT OF ARTIFICIAL INTELLIGENCE ON RECRUITMENT AND TALENT SELECTION." Revista ft 27, no. 117 (2022): 22–23. https://doi.org/10.69849/revistaft/dt10202212272222.

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Abstract Artificial Intelligence (AI) has emerged as an innovative tool in recruitment and talent selection, offering notable benefits such as increased efficiency, cost reduction, and a more impartial and inclusive selection process. AI optimizes repetitive tasks, such as resume screening and profile analysis, allowing recruiters to focus on more strategic decisions, such as assessing interpersonal skills and alignment with organizational culture. By utilizing machine learning algorithms, AI processes large volumes of data quickly, accelerating screening and helping identify promising candida

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Kamaruddin, Norhaslinda, Abdul Wahab Abdul Rahman, and Frederick C. Harris Jr. "Enhancing Talent Development Using AI-Driven Curriculum-Industry Integration." Environment-Behaviour Proceedings Journal 8, no. 26 (2023): 377–82. http://dx.doi.org/10.21834/e-bpj.v8i26.5129.

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The specific hiring needs render low-skill-based job-seeking invalid in coping with the nation's economic development. There needs to be more graduate readiness for the industry's needs. This paper explores the transformative potential of Artificial Intelligence (AI) in fostering a symbiotic relationship between academic curricula and industry demands, aimed at building a robust talent pool for the future. A new hiring selection model that matches industry-identified hiring parameters with the knowledge and skills obtained from the university. By aligning educational programs with real-world c

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Xinghang, Yuwen. "Analysis of Campus Recruitment in Contemporary AI Companies." Science Innovation 12, no. 2 (2024): 43–47. http://dx.doi.org/10.11648/j.si.20241202.15.

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With the continuous evolution of AI technology, the demand for talents is constantly increasing, and the demand for high-quality talents is becoming increasingly urgent. Campus recruitment, as an important way of talent introduction, provides AI companies with rich talent selection space. However, people from different eras have completely different cognitive and behavioral preferences towards campus recruitment. The generation that grew up before and after the reform may not have established a sense of independent career choice when they first entered society at a young age; Some of the post-

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Shen, Guorong. "AI-enabled talent training for the cross-cultural news communication talent." Technological Forecasting and Social Change 185 (December 2022): 122031. http://dx.doi.org/10.1016/j.techfore.2022.122031.

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Faqih, Mustofa, Anastasia Sri Sukistini, Asrianto Asrianto, Abu Siri, and Yeheskial Nggandung. "The Impact of AI on Talent Acquisition: Opportunities and Challenges in Modern HR Practices." Global International Journal of Innovative Research 2, no. 11 (2024): 2626–38. https://doi.org/10.59613/global.v2i11.365.

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The development of artificial intelligence (AI) has changed various aspects of human resource management, including the talent acquisition process to become more efficient and structured. However, the application of AI in recruitment also presents challenges, especially related to the issue of algorithmic and ethical bias, which can affect fairness in the candidate selection process. This study aims to evaluate the impact of AI on talent acquisition, including the potential opportunities and challenges that organizations face in their implementation. This study uses a qualitative method with a

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Laelawati, Kania. "The New HR Paradigm: Integrating AI And Human Insight For Superior Talent Management." Journal of Economic, Bussines and Accounting (COSTING) 7, no. 5 (2024): 1481–90. http://dx.doi.org/10.31539/costing.v7i5.11779.

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This research investigates the impact of AI Integration and Human Insight on Superior Talent Management at PT Aneka Gas Industri, focusing on both direct and indirect effects mediated by HR Practices. Utilizing a quantitative research design with a sample of 70 employees and analyzed through SMART PLS, the study finds that AI Integration has a significant positive effect on both HR Practices and Superior Talent Management, demonstrating its crucial role in enhancing talent management processes. The analysis reveals that the impact of Human Insight on HR Practices is not statistically significa

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Rayyan, Mohammad, Nakayenga Sharifah, and Rini Kuswati. "Revolutionizing Talent Acquisition in Indonesia's E-Commerce Industry: The Transformative Impact of AI and Machine Learning." Journal of Humanities and Social Sciences Studies 6, no. 4 (2024): 01–12. http://dx.doi.org/10.32996/jhsss.2024.6.4.1.

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This research explores the impact of Artificial Intelligence (AI) and Machine Learning (ML) on talent acquisition within Indonesia's growing e-commerce sector. While acknowledging the transformative potential of these technologies, the study uncovers significant challenges in their integration into existing talent acquisition processes. These challenges include issues related to data quality, model accuracy, and system adaptability. The study emphasizes the difficulty of acquiring talent with expertise in AI and ML, given the increasing demand for skilled workers in the e-commerce boom. It exp

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Febri Pramudya Wardani, K.P.Suharyono Soemarwoto Hadiningrat, and Dewanto Soedarno. "THE IMPACT OF AI USAGE ON THE DEVELOPMENT OF PROBLEM-SOLVING SKILLS FOR DIGITAL TALENT HUMAN RESOURCES." JIPOWER : Journal of Intellectual Power 1, no. 3 (2024): 38–51. https://doi.org/10.63786/jipower.v1i3.27.

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The rapid adoption of Artificial Intelligence (AI) in various industries has significantly impacted the development of digital talent, particularly in enhancing problem-solving skills. This study aims to examine the impact of AI on the development of problem-solving abilities in digital talent. A quantitative research approach was used, with participants undergoing AI-assisted training designed to improve their problem-solving capabilities. Pre-test and post-test evaluations were conducted to measure changes in participants' problem-solving skills. The data were analyzed using statistical meth

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Aditia Putra Hamid, Rosyid Ridlo Al-Hakim, Yanuar Zulardiansyah Arief, ‪Brainvendra Widi Dionova, and Mahmmoud Hussein A. Alrahman. "Recent Updates on Intelligent System for Talent Management: Does That Become a Helpful System?" SATESI: Jurnal Sains Teknologi dan Sistem Informasi 3, no. 1 (2023): 38–44. http://dx.doi.org/10.54259/satesi.v3i1.1590.

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The use of information technology in human management today has increased, along with the implementation of intelligent systems that generally use artificial intelligence (AI) in their application. One of the areas of human management that has adopted AI is talent management (TM). TM is crucial for companies to identify, manage, determine, assess, and recommend talent (in this case, it can be employees) for their company's sustainability. The application of family planning in TM is not as extensive as thought, but this study tries to review the latest research that adapts AI to a very complex

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Muhammad Rizal, Novrizal Novrizal, Dadang Irawan, and Mia Christy Patricia. "Human Potential in the AI Era: Strategies for Cultivating Exceptional Talent." International Conference on Education, Social Sciences and Technology (ICESST) 1, no. 2 (2022): 260–68. https://doi.org/10.55606/icesst.v1i2.380.

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This research aims to explore strategies for cultivating exceptional talent in the era of artificial intelligence (AI). The study employs a mixed-method approach, integrating interviews, surveys, and case studies to gather comprehensive data. The sample selection includes individuals from various industries known for fostering talent development, such as technology, education, and business. Through thematic analysis, the collected data are systematically examined to identify recurring patterns, emerging themes, and innovative practices in talent cultivation. Results reveal multifaceted strateg

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Ekawahyu Kasih, Farah Qalbia, and Novrizal Novrizal. "Empowering Talent In The Age Of Artificial Intelligence: Innovations In Human Resource Management." International Conference on Education, Social Sciences and Technology (ICESST) 1, no. 2 (2022): 287–95. https://doi.org/10.55606/icesst.v1i2.383.

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In the dynamic landscape of Human Resource Management (HRM), the emergence of Artificial Intelligence (AI) technologies presents both challenges and opportunities. This research aims to explore strategies for empowering talent amidst AI innovations in HRM. The research adopts a phenomenological approach to delve into the lived experiences of HR professionals and employees within organizations integrating AI technologies. Through purposive sampling, data were collected via in-depth interviews and focus group discussions. Thematic analysis was employed to identify patterns, themes, and insights

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Dr.A.Shaji, George. "India's Ascent as the Global Epicenter of Artificial Intelligence." Partners Universal Innovative Research Publication (PUIRP) 02, no. 01 (2024): 1–15. https://doi.org/10.5281/zenodo.10667648.

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Artificial intelligence (AI) has rapidly emerged as one of the most transformative technologies of the 21st century. As the field continues to advance, the competition to be at the forefront of AI innovation and development is heating up. This paper argues that India is uniquely positioned to become the undisputed global leader in AI due to its vast talent pool, thriving technology ecosystem, and supportive government policies. With over 5 million programmers and around 500,000 specialists in AI and data science, India already has the largest base of skilled AI talent globally. Leading technol

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Cyranoski, David. "China enters the battle for AI talent." Nature 553, no. 7688 (2018): 260–61. http://dx.doi.org/10.1038/d41586-018-00604-6.

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Gibney, Elizabeth. "AI talent grab sparks excitement and concern." Nature 532, no. 7600 (2016): 422–23. http://dx.doi.org/10.1038/532422a.

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Burrell, Darrell Norman, and Ian Mcandrew. "Exploring the Ethical Dynamics of the Use of Artificial Intelligence (AI) in Hiring in Healthcare Organizations." Land Forces Academy Review 28, no. 4 (2023): 309–21. http://dx.doi.org/10.2478/raft-2023-0037.

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Abstract Artificial Intelligence (AI)-driven resume screening holds immense potential for improving the hiring process. However, organizations must actively address the ethical and bias challenges that may arise. This paper explores a consultant-based intervention research approach in a real-world healthcare organization. Integrating Artificial Intelligence (AI) in the healthcare industry has brought about transformative advancements in patient care, diagnostics, and administrative processes. Healthcare companies have recently embraced AI technologies to revolutionize their resume screening an

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Liu, Larry, Amjad Ali, and Blessing Ojeme. "A framework for diversifying the artificial intelligence talent pipeline." American Journal of STEM Education 6 (February 17, 2025): 80–93. https://doi.org/10.32674/grhp3c90.

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The rise of Artificial Intelligence (AI) creates significant opportunities for economies and societies but its development is hampered by insufficient availability of diverse talent from traditionally disadvantaged communities including African Americans. We build on the concept of the talent pipeline, a pool of qualified candidates ready to fill organizational vacancies, to propose a framework for how to diversify the AI workforce. We argue that there needs to be a synergy between Historically Black Colleges and Universities (HBCUs), industry and government in order to create a diverse and in

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SHI, Bingzhao. "Research on the collaborative education mechanism of “government-application-industry-university-research” in the visual communication design major under the background of new liberal arts construction." Integration of Industry and Education Journal 4, no. 1 (2025): 14–23. https://doi.org/10.6914/iiej.040102.

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This paper mainly discusses how to construct and optimize the collaborative education mechanism of “government-application-industry-university-research” in the visual communication design major under the background of new liberal arts construction. The article carries out an in-depth analysis of the concept, components, and role in talent cultivation of the collaborative education mechanism of “government-application-industry-university-research”, as well as the current problems in talent cultivation. It then proposes a coordinated education strategy that deepens the integration of theory and

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Manoharan, Prabu. "A Review on AI Driven HR Systems: Revolutionizing HR Systems and Talent Management." Scholars Journal of Engineering and Technology 12, no. 06 (2024): 179–84. http://dx.doi.org/10.36347/sjet.2024.v12i06.001.

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The advent of artificial intelligence (AI) has heralded a transformative era in various domains, including human resource (HR) management. This research paper explores the profound impact of AI-driven systems on HR practices and talent management. Traditional HR systems often face challenges such as inefficiencies, biases, and the inability to manage large volumes of data effectively. AI technologies, with their capabilities in data analytics, machine learning, and automation, offer innovative solutions to these challenges. This study investigates how AI can enhance various HR functions, inclu

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Sasi, Kiran Parasa. "Impact of AI in Recruitment and Talent Acquisition." Human Resource and Leadership Journal 9, no. 3 (2024): 78–83. http://dx.doi.org/10.47941/hrlj.2117.

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Purpose: This paper explores the multifaceted impact of AI on the recruitment process, highlighting its role in automating routine tasks, analyzing vast amounts of data for better decision-making, and providing predictive analytics to anticipate hiring needs. AI-driven tools, such as chatbots and applicant tracking systems, streamline candidate sourcing and screening, significantly reducing time-to-hire and improving the quality of hires. Methodology: To assess the impact of AI in recruitment and talent acquisition, this study employs a mixed-methods approach, combining both qualitative and qu

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Nishitha Reddy Nalla. "AI-Driven Predictive Analytics for Workforce Planning and Optimization." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 4 (2024): 349–53. https://doi.org/10.32628/cseit2477112.

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Predictive analytics powered by AI is revolutionizing the way organizations plan and optimize their workforce. Through the use of big data, machine learning and AI technologies, organizations can forecast workforce requirements, improve talent management techniques, and drive operational effectiveness. In recent years, the integration of AI-driven predictive analytics in workforce planning and optimization has transformed the way organizations manage talent, enabling them to adapt quickly to changing demands. It also explores the future of AI in human resource management, offering guidance on

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Zhang, Wei. "Discussion on the Reform of OBE Talent Training Model in Universities with AI Assistance." Journal of Higher Education Teaching 1, no. 1 (2024): 60–64. http://dx.doi.org/10.62517/jhet.202415110.

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Based on the concept of Outcome-Based Education (OBE) and in combination with Artificial Intelligence (AI) technology, this paper presents an innovative approach to reforming the OBE talent-training model in universities. It provides preliminary professional talent training plans and curriculum teaching outline design methods. This method uses AI technology to realize the core idea of OBE, which is to focus on teaching outcomes-students' knowledge, skills, and attitudes. It assists in analyzing and making decisions on several important aspects of talent training in universities, efficiently co

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Goswami, Prof Pratibha. "Leveraging AI and Analytics for Equity in Talent Management." IOSR Journal of Business and Management 27, no. 6 (2025): 68–77. https://doi.org/10.9790/487x-2706106877.

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The integration of Artificial Intelligence (AI) and advanced analytics into talent management has emerged as a transformative approach to addressing long-standing inequities in recruitment, performance evaluation, career development, and employee retention. Despite the growing emphasis on equity, diversity, and inclusion (EDI) in organizational practices, traditional talent management systems often perpetuate biases, leading to unequal opportunities for underrepresented groups. This paper conducts a comprehensive review of Scopus-indexed literature to explore how AI and analytics can be levera

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Chandratreya, Dr Abhijit. "AI in HR: A Comprehensive Analysis and Framework for Success." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem37020.

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Artificial Intelligence (AI) is transforming the field of Human Resources (HR), revolutionizing how organizations manage their workforce. This paper provides a comprehensive analysis of AI's impact on HR practices, from recruitment and talent management to employee engagement and decision-making. It explores the benefits and challenges of AI adoption in HR and offers a practical framework for successful implementation. By examining real-world case studies and current trends, this paper equips HR professionals and organizational leaders with the knowledge and strategies needed to harness the po

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Setyawan, Gogor Christstmass, Guijiao Zou, Lie Jie, Cai Jixiong, and Reviandari Widyatiningtyas. "The Role of Artificial Intelligence in Talent Acquisition and Retention." Journal Markcount Finance 2, no. 2 (2024): 252–62. https://doi.org/10.70177/jmf.v2i2.1286.

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Artificial intelligence (AI) is increasingly being used in various fields in the ever-growing digital era, including human resource management (HR). AI technology can solve problems such as long recruitment processes and retaining quality employees. The aim of this research is to find out how AI can improve this process. The focus of the research is how AI can be used to identify, assess and manage talent across organizations. The aim of this research is to see how AI functions in the employee acquisition and retention process. Specifically, the goal of this research is to identify how AI is u

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Zhang, Shaoyang. "Research on the Application of AI Technology in Auditing." Economic Management & Global Business Studies 3, no. 1 (2024): 1–19. http://dx.doi.org/10.69610/j.emgbs.20240831.

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With the rapid development of AI technology, the application in the field of auditing has become an important means to improve the efficiency and quality of auditing. AI technology has significantly improved the efficiency and quality of audit work by automating data analysis, risk assessment, and audit processes. However, as technology evolves, so do challenges such as data privacy, security, algorithmic transparency, and lack of talent. In order to address these issues, it is recommended to strengthen data protection, improve the accuracy and transparency of algorithms, formulate unified AI

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Gao, Shang. "The Impact of Artificial Intelligence on Talent Acquisition in Small and Medium-sized Enterprises: A systematic review." International Theory and Practice in Humanities and Social Sciences 2, no. 2 (2025): 216–26. https://doi.org/10.70693/itphss.v2i2.224.

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With the continuous maturity of AI technology, AI applications can also steadily empower SMEs through big data, cloud computing, and other avenues, thus reducing the threshold of technology application. Therefore, embedding AI into the talent recruitment management system of SMEs is the focus of this study. In order to gain an in-depth insight into the development of this cutting-edge field, this study relies on authoritative databases in the field, such as Scopus, and adopts bibliographic analysis, an advanced and rigorous research methodology, to scientifically and systematically screen and

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Lü, Xuanling. "A Quantitative Study of Artificial Intelligence in Foreign Language Talent Cultivation." English Language Teaching and Linguistics Studies 7, no. 2 (2025): p24. https://doi.org/10.22158/eltls.v7n2p24.

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The integration of artificial intelligence (AI) in foreign language education is reshaping traditional pedagogical models, offering new opportunities for personalized learning, adaptive assessments, and data-driven instructional strategies. This paper explores the impact of AI on foreign language talent cultivation through quantitative analysis of AI-assisted teaching methods and their effects on learner outcomes. By employing a large-scale survey and experimental design, the study evaluates how AI tools—such as intelligent tutoring systems, machine learning-based assessment models, and natura

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Wang, Peng. "Multidimensional Talent Cultivation Method of College Art and Design Majors From the Perspective of Artificial Intelligence." International Journal of Cognitive Informatics and Natural Intelligence 19, no. 1 (2025): 1–16. https://doi.org/10.4018/ijcini.383056.

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Artificial intelligence (AI) not only provides students with richer learning resources and creative tools in the cultivation of artistic talents in colleges and universities, but also helps students better understand the inherent laws and trends of artistic design through intelligent analysis and recommendation systems. On the basis of systematically reviewing the application and innovative contributions of AI in the field of art design, this paper proposes a knowledge tracking model based on the framework of AI. The improved deep knowledge tracking model proposed in this study not only helps

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Lin, Shaoyun, and Haiyun Dong. "Research on the Path of Higher Vocational Talent Training in the New Era under the Background of Artificial Intelligence." Journal of Education and Educational Research 7, no. 3 (2024): 22–27. http://dx.doi.org/10.54097/481zpc40.

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With the advent of the era of artificial intelligence, it is difficult to rely on standardized education, and the development of The Times puts forward new requirements for talent training. The talents trained by higher vocational education in the new era should have the characteristics of growth mentality and high consciousness learning, human-machine symbiotic thinking and AI penetration skills, pioneering spirit and the ability to "break boundaries", the creative ability and practical wisdom, the combination of humanistic spirit and science and technology, human community thinking and cross

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