Relevant bibliographies by topics / AI in HR

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AI in HR'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "AI in HR"

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Gulliford, Fred, and Amy Parker Dixon. "AI: the HR revolution." Strategic HR Review 18, no. 2 (2019): 52–55. http://dx.doi.org/10.1108/shr-12-2018-0104.

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Purpose Artificial intelligence (AI) and robotics are already here, influencing almost every single industry in one way or another. Organisational scientists at Qlearsite use AI and machine learning to unleash the business potential languishing in workforce data – something previously unusable because of its format. This paper aims to track the initial implementation of AI up to present day, based on Qlearsite’s corporate experience. Design/methodology/approach Using actual experiences, Qlearsite were tasked with demonstrating how businesses can better understand their workforce, identify perf
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Dr. Uma Warrier. "Revolutionizing Hr: Unraveling Hr Professionals' Perspectives On Ai Integration Through Qualitative Insights." Journal of Information Systems Engineering and Management 10, no. 29s (2025): 519–33. https://doi.org/10.52783/jisem.v10i29s.4502.

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The use of Artificial intelligence (AI) in Human Resource Management (HRM) has become increasingly popular and has the potential to greatly impact HR professionals across various industries. This study aims to comprehensively understand how HR professionals perceive the use of AI in the HRM field. Through semi-structured interviews with 19 HR professionals from different industries, their responses were thematically analyzed. The research identifies four central themes that demonstrate the multifaceted role of AI in HRM: Utility of AI in HR Functions, AI Application in HRM, Upskilling for AI,
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Ramprasad Reddy Mittana. "AI in HR: Enabling HR shared service center automation with GenAI." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 529–37. https://doi.org/10.30574/wjaets.2025.15.1.0243.

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This article examines the transformative impact of Artificial Intelligence (AI) and Generative AI on HR shared service centers. The article explores how AI technologies are revolutionizing traditional HR functions, from routine administrative tasks to strategic workforce planning. Through a comprehensive analysis of current implementations and future trends, the article investigates the integration of Intelligent Process Automation (IPA), Natural Language Processing (NLP), and advanced analytics in HR services. The article demonstrates significant improvements in operational efficiency, cost o
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Nyathani, Ramesh. "AI-Driven HR Analytics: Unleashing the Power of HR Data Management." Journal of Technology and Systems 5, no. 2 (2023): 15–26. http://dx.doi.org/10.47941/jts.1513.

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The rapidly evolving landscape of Human Resources (HR), begins by emphasizing the significance of HR analytics, underlining its evolution and the advantages it offers through data-driven decision-making. The paper establishes the foundation of effective HR analytics, highlighting the importance of employee data management, including collection, storage, quality assurance, and governance of all kinds of employee data. AI's transformative role takes center stage, showcasing how AI enhances employee data processing and analysis. Real-world best practices illustrate the potential of AI-driven HR a
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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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Dadheech, Harshita. "AI-Driven HR Analytics: Unleashing the Power of HR Data Management." Shanlax International Journal of Management 11, S1-Mar (2024): 163–71. http://dx.doi.org/10.34293/management.v11is1-mar.8098.

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The quickly changing field of human resources (HR) starts by highlighting the importance of HR analytics, its development, and the benefits it provides for making data-driven decisions. The foundation for efficient HR analytics is laid out in this article, which also emphasizes the significance of employee data management, which includes the governance, quality assurance, and collection, storage, and collection of all types of employee data. AI’s revolutionary significance is highlighted, demonstrating how AI improves the processing and analysis of employee data. The AI-driven HR Analytics Wor
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Dr., Archana J. R. "Navigating the AI-Human Nexus: A Framework for Job Evolution in the Intelligent Enterprise." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 5 (2025): 2585–92. https://doi.org/10.5281/zenodo.15471273.

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Generative AI is reshaping Human Resources (HR) by transforming traditional practices, redefining job roles, and enhancing collaboration between humans and AI systems. This study, titled "Navigating the AI-Human Nexus: A Framework for Job Evolution in the Intelligent Enterprise", explores the awareness, benefits, challenges, and future outlook of generative AI in HR operations. The research aims to assess the level of understanding and perceived impact of generative AI on HR processes, evaluate its advantages such as improved efficiency and decision-making, and address challenges like ethical
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Arora, Ritu Gandhi, and Neha Kumari Siradhana. "HR Transformation Through Artificial Intelligence." International Journal of Information Systems and Social Change 13, no. 1 (2022): 1–16. http://dx.doi.org/10.4018/ijissc.309736.

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Artificial intelligence is an upsetting technology poised to unbridle the subsequent movement of digital revolution and is altering the approach of managing human resources. AI is assisting managers to work productively in making speedy, intelligent, and error-free decisions. The main objective of this paper is to understand the application/benefits of adopting AI and the challenges faced by HR managers while adopting the AI-based processes through literature review. This is an exploratory study that will help researchers in understanding the benefits of adopting these practices from hiring ti
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Erbay, A. "HR TECHNOLOGY TRENDS: HOW AI AND AUTOMATION ARE TRANSFORMING HR OPERATIONS." Scientific heritage, no. 125 (November 23, 2023): 82–85. https://doi.org/10.5281/zenodo.10199864.

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HR technology is the application of information technology, especially artificial intelligence (AI) and automation, to various aspects of human resources, such as selection, training, development, motivation, assessment, analytics and others. Artificial intelligence and automation are transforming HR operations in many ways. Improved efficiency and reduced time spent on routine and repetitive tasks such as resume screening, interviewing, filling out documents, creating reports, etc. Improving the quality and accuracy of decision making based on data and analytics that can identify trends, pred
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Dr., Archana J. R. "Navigating the AI-Human Nexus: A Framework for Job Evolution in the Intelligent Enterprise." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 5 (2025): 2585–92. https://doi.org/10.5281/zenodo.15471731.

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Generative AI is reshaping Human Resources (HR) by transforming traditional practices, redefining job roles, and enhancing collaboration between humans and AI systems. This study, titled "Navigating the AI-Human Nexus: A Framework for Job Evolution in the Intelligent Enterprise", explores the awareness, benefits, challenges, and future outlook of generative AI in HR operations. The research aims to assess the level of understanding and perceived impact of generative AI on HR processes, evaluate its advantages such as improved efficiency and decision-making, and address challenges like ethical
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Dissertations / Theses on the topic "AI in HR"

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Savola, Hannimari, and Bijona Troqe. "Recruiters just wanna have...AI? : Implications of implementing AI in HR recruitment." Thesis, Linköpings universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158480.

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The development and implementation of AI is rapidly growing in the Nordic countries, yet the perception and information of AI is still limited. This paper will look deeper into the managerial aspects of implementing AI as part of the recruitment system, specifically the selection process and machine learning in text mining. The data gathering of this research has been conducted via interviews with Linköping's municipality, as well as collecting secondary data from public reports and scientific articles. Afterwards, the data was then scrutinized through theoretical analysis, using frameworks fr
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Mogensen, Gustav, and Simon Warfving. "Nya perspektiv på HR, Human relations & Artificiell intelligens : En kvalitativ studie där AI-enheter inkluderas i HR-perspektivet." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105355.

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För nästan hundra år sedan, lades grunden för det som senare kom att benämnas som human relations. HR-perspektivet med Mayos “Hawthornsstudie” i spetsen, innebar ett skifte i hanterandet och synsättet av människor i organisationer. Taylorismens organisatoriska kontroll och effektivitet byttes ut mot människors behov och välmående. Numera är HR-diskursen mångfacetterat och dess nuvarande existens ses som relativt självklar i många sammanhang. Men i och med den nya teknologiska eran, som numera innefattar artificiella intelligenta (AI)-enheter, gör att HR-perspektivet inte bör negligera dessa ny
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Melani, Federica. "Applicazione delle People Analytics ai processi di Formazione e Sviluppo del Gruppo HERA." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Il presente elaborato si propone di valutare l’impatto delle nuove metodologie di analisi predittiva in ambito Risorse Umane. Il motivo di questa scelta nasce dal crescente interesse per le People Analytics, nuovi metodi di analisi che permettono di supportare i manager nel prendere decisioni. Queste metodologie si basano su conoscenze di matematica, statistica e modellazione per analizzare i dati ed effettuare analisi predittive. Sono state ampiamente utilizzate in fase di selezione, valutazione della performance e misurazione del grado di retention. L’elaborato si basa sul tirocinio svolto
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BAEI, LASHAKI ABDOLLAH. "Determinanti informativi dell'accesso ai membri del Parlamento europeo per le ONG hr: Un caso di studio delle ONG delle risorse umane che copre la situazione dei diritti umani in Iran." Doctoral thesis, Università degli studi di Padova, 2022. http://hdl.handle.net/11577/3454226.

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L'accesso dei diversi gruppi di interesse alle istituzioni dell'Unione europea e alle organizzazioni internazionali è definito dal tipo di informazioni che forniscono e dalle tattiche che impiegano per inviare informazioni.sulla base dei risultati degli studiosi che lavorano nei determinanti informativi dell'accesso ai responsabili politici, i gruppi di interesse forniscono le informazioni necessarie ai responsabili politici e, in cambio, forniscono ciò di cui hanno bisogno, che è l'accesso al processo di elaborazione delle politiche. Tuttavia, quasi tutti i ricercatori che lavorano sui determ
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Weißenburger, Julius Eric. "Disruption in HR : the impact of Artificial Intelligence and machine learning innovation on recruiting." Master's thesis, 2020. http://hdl.handle.net/10400.14/31314.

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Talent is increasingly important for organizations which makes corporate recruitment a significant ongoing function. Recruiting top talent cannot occur where there are inefficiencies, high costs and lack of innovation. At the same time, artificial intelligence (AI) and machine learning (ML) are disrupting industries and different areas of business practice. This technology has the potential to create unprecedented value in recruiting functions also, by positively impacting efficiency, costs and employee fit. Despite rapid developments in the field of AI, academic literature on AI in recruitme
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Books on the topic "AI in HR"

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Eubanks, Ben. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page, 2018.

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Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance. Kogan Page, Limited, 2023.

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Eubanks, Ben. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page, 2018.

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Eubanks, Ben. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page, Limited, 2018.

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Eubanks, Ben. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page, Limited, 2022.

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Eubanks, Ben. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page, Limited, 2022.

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Eubanks, Ben. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page, Limited, 2022.

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Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance. Kogan Page, Limited, 2023.

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HR Without People?: Industrial Evolution in the Age of Automation, AI, and Machine Learning. Emerald Publishing Limited, 2021.

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Buckley, M. Ronald, and Anthony R. Wheeler. HR Without People?: Industrial Evolution in the Age of Automation, AI, and Machine Learning. Emerald Publishing Limited, 2021.

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Book chapters on the topic "AI in HR"

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Sharma, Anjali, Ankita Goyal, and Ashish Kumar Sharma. "AI-Powered Metaverse." In Digital HR. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781032619651-1.

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Balaji, K. "HR 4.0." In AI and Innovation in HRM. Routledge, 2025. https://doi.org/10.4324/9781003522157-11.

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Lawry, Tom. "When AI Meets HR." In AI in Health. HIMSS Publishing, 2020. http://dx.doi.org/10.4324/9780429321214-10.

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Rogers, Bob. "HR and Talent Management." In Demystifying AI for the Enterprise. Productivity Press, 2021. http://dx.doi.org/10.4324/9781351032940-4.

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Khan, Ihtiram Raza, and Mehtab Alam. "Implementing AI Solutions in HR." In Human Resource Management and Artificial Intelligence. Routledge, 2025. https://doi.org/10.4324/9781003474265-8.

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Nayak, Subhamitra, and Mousumi Panda. "HR Analytics for Sustainable Business." In AI and Innovation in HRM. Routledge, 2025. https://doi.org/10.4324/9781003522157-15.

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Vijai, C. "Artificial Intelligence in HR Employee Experience." In AI and Innovation in HRM. Routledge, 2025. https://doi.org/10.4324/9781003522157-9.

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Srivastava, Prerna, Udit Mamodiya, and Vineet Pandey. "The Human Touch in AI-Augmented HR." In AI and Innovation in HRM. Routledge, 2025. https://doi.org/10.4324/9781003522157-19.

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Metta, Sukanya, and S. Venkata Siva Kumar. "AI-Driven HR Transformation in Service Industry." In AI and Innovation in HRM. Routledge, 2025. https://doi.org/10.4324/9781003522157-12.

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Groß, Matthias. "Yes, AI Can: The Artificial Intelligence Gold Rush Between Optimistic HR Software Providers, Skeptical HR Managers, and Corporate Ethical Virtues." In AI for the Good. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66913-3_10.

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Conference papers on the topic "AI in HR"

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Ara, Aftab, and Ali Khursheed Ahmad. "Building Trust in AI-Driven HR Systems: Employee Perceptions for AI-HR." In 2025 Eighth International Women in Data Science Conference at Prince Sultan University (WiDS PSU). IEEE, 2025. https://doi.org/10.1109/wids-psu64963.2025.00055.

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Sampath, K., Kabirdoss Devi, T. V. Ambuli, and S. Venkatesan. "AI-Powered Employee Performance Evaluation Systems in HR Management." In 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). IEEE, 2024. http://dx.doi.org/10.1109/iccpct61902.2024.10673159.

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Sarumathi, S., Gowthaman R. L, Sabareesh M. B, and Sultana A. "AI-Enhanced HR Interview Simulation for Realistic Candidate Assessment." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915193.

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Susitra, D., Pratheesh G, Karthiga JD, K. Dhanalakshmi, B. Shamreen Ahamed, and Sylvia Grace J. "Implementing HR Management System with an AI Powered ChatBot." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915116.

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Nain, Arvind, Satish Chandra Mishra, Hardev Singh, Priya Sharma, Himani Grewal, and Prasenjeet Samanta. "Integrating AI in HR Practices to Promote Sustainable Development Goals." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10894910.

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Choudhuri, Sajjan, Sivapavani Veeranalla, Prathima Gamini, Chiranjeevi Manike, U. Priya, and Siva Koteswararao Katta. "AI-Powered HR Marketing Revolutionizing Employee Recruitment and Retention Strategies." In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC). IEEE, 2024. https://doi.org/10.1109/icec59683.2024.10837529.

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Bhalke, Vedant Daulappa, Dhananjay S. Satanure, Pranav Suryakant Ghabade, and Aditi Vedalankar. "AI-Driven Transformation of HR: Enhancing Recruitment, Training, and Employee Retention." In 2024 4th Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10837981.

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Suryanarayanan, Uma, Ronit Nair, Aditya Singh, and Manjari Sharma. "How AI and other Emerging Technologies are Disrupting Traditional HR Practices." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545300.

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Alshar, Moath Mahmoud, Ameet Sao, Manish Sharma, Sunil Kadyan, Vuda Sreenivasa Rao, and B. Anitha Vijayalakshmi. "Leveraging AI to Personalize HR Marketing Campaigns: A Data-Driven Approach." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC). IEEE, 2025. https://doi.org/10.1109/isacc65211.2025.10969174.

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Raj, Vijilius Helena, N. Sreevani, H. Pal Thethi, Neeraj Chahuan, Errabelli Annapoorna, and Sajjad Ziara. "Deployment of AI Model to Analyze the Automation Process of HR." In 2025 International Conference on Next Generation Communication & Information Processing (INCIP). IEEE, 2025. https://doi.org/10.1109/incip64058.2025.11020438.

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Reports on the topic "AI in HR"

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Williams, Penny, Tyge Kummer, Mazlan Maskor, and Catherine Kennon. The State of AI in Australian Human Resources. Australian Human Resource Institute, 2024. https://doi.org/10.5204/rep.eprints.254106.

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Alongside work of all forms, the human resources profession is undergoing a transformation fuelled by rapid developments in artificial intelligence (AI) and the automation of HR and Management processes. This report presents findings from research undertaken as a collaboration between Queensland University of Technology (QUT) and the Australian Human Resources Institute (AHRI), to understand how these transformations are shaping the experiences of HR professionals in Australia, including their concerns and perspectives on the use of Generative AI in the workplace.
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