Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management
Author
Abstract
Suggested Citation
DOI: 10.1016/j.techsoc.2025.102818
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Thomas Bolander, 2019. "What do we loose when machines take the decisions?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 849-867, December.
- Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
- Roland G. Fryer & Steven D. Levitt, 2004.
"The Causes and Consequences of Distinctively Black Names,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 767-805.
- Roland G. Fryer & Steven D. Levitt, 2003. "The Causes and Consequences of Distinctively Black Names," NBER Working Papers 9938, National Bureau of Economic Research, Inc.
- Roger E. Backhouse & Béatrice Cherrier, 2019.
"Paul Samuelson, gender bias and discrimination,"
The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 26(5), pages 1053-1080, September.
- Roger Backhouse & Béatrice Cherrier, 2019. "Paul Samuelson, gender bias and discrimination," Post-Print halshs-02735812, HAL.
- Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
- Zhisheng Chen, 2023. "Ethics and discrimination in artificial intelligence-enabled recruitment practices," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
- Janet Gao & Wenting Ma & Qiping Xu, 2023. "Access to Financing and Racial Pay Gap Inside Firms," Working Papers 23-36, Center for Economic Studies, U.S. Census Bureau.
- Eleonora Veglianti & Matteo Trombin & Roberta Pinna & Marco Marco, 2023. "Customized Artificial Intelligence for Talent Recruiting: A Bias-Free Tool?," Lecture Notes in Information Systems and Organization, in: Cinzia Dal Zotto & Afshin Omidi & Georges Aoun (ed.), Smart Technologies for Organizations, pages 245-261, Springer.
- Scott David WILLIAMS, 2020. "A Textual Analysis Of Racial Considerations In Human Resource Analytics Vendors’ Marketing," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(4), pages 49-63, December.
- Nir Kshetri, 2021. "Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence," Management Research Review, Emerald Group Publishing Limited, vol. 44(7), pages 970-990, January.
- Prithwiraj Choudhury & Evan Starr & Rajshree Agarwal, 2020. "Machine learning and human capital complementarities: Experimental evidence on bias mitigation," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1381-1411, August.
- Kanchana Ruwanpura, 2008. "Multiple identities, multiple-discrimination: A critical review," Feminist Economics, Taylor & Francis Journals, vol. 14(3), pages 77-105.
- Lennart Hofeditz & Sünje Clausen & Alexander Rieß & Milad Mirbabaie & Stefan Stieglitz, 2022. "Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2207-2233, December.
- González-Albo, Borja & Bordons, María, 2011. "Articles vs. proceedings papers: Do they differ in research relevance and impact? A case study in the Library and Information Science field," Journal of Informetrics, Elsevier, vol. 5(3), pages 369-381.
- Nima Kordzadeh & Maryam Ghasemaghaei, 2022. "Algorithmic bias: review, synthesis, and future research directions," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 388-409, May.
- Mehdi Barati & Bahareh Ansari, 2022. "Effects of algorithmic control on power asymmetry and inequality within organizations," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(4), pages 525-544, December.
- Kay Jowers & Lala Ma & Christopher D. Timmins, 2023. "Racial Gaps in Federal Flood Buyout Compensations," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 451-455, May.
- Nir Kshetri, 2021. "Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence," Management Research Review, Emerald Group Publishing Limited, vol. 44(7), pages 970-990, January.
- Da Hoang & Duong Trung Le & Ha Nguyen & Mr. Nikola Spatafora, 2024. "Shedding Light on the Local Impact of Temperature," IMF Working Papers 2024/178, International Monetary Fund.
- My Nguyen & Kien Le, 2023. "Racial/ethnic match and student–teacher relationships," Bulletin of Economic Research, Wiley Blackwell, vol. 75(2), pages 393-412, April.
- Wonhyuk Cho & Seeyoung Choi & Hemin Choi, 2023. "Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats," Administrative Sciences, MDPI, vol. 13(2), pages 1-22, January.
- Trocin, Cristina & Hovland, Ingrid Våge & Mikalef, Patrick & Dremel, Christian, 2021. "How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Shashidharan Shanmugam & Lalit Garg, 2015. "Model Employee Appraisal System with Artificial Intelligence Capabilities," Journal of Cases on Information Technology (JCIT), IGI Global, vol. 17(3), pages 30-40, July.
- Lixuan Zhang & Clinton Amos, 2024. "Dignity and use of algorithm in performance evaluation," Behaviour and Information Technology, Taylor & Francis Journals, vol. 43(2), pages 401-418, January.
- Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Jeon, June & Kim, Lanu & Park, Jaehyuk, 2025. "The ethics of generative AI in social science research: A qualitative approach for institutionally grounded AI research ethics," Technology in Society, Elsevier, vol. 81(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ayala, Néstor Fabián & Rodrigues da Silva, Jassen & Cannarozzo Tinoco, Maria Auxiliadora & Saccani, Nicola & Frank, Alejandro G., 2025. "Artificial Intelligence capabilities in Digital Servitization: Identifying digital opportunities for different service types," International Journal of Production Economics, Elsevier, vol. 284(C).
- Pallavi Pandey & Avichal Sharma & Saket Jeswani & Deepti Sharma & Ashulekha Gupta, 2025. "Spotlighting recruitments: is AI dominating human resource practices? Qualitative research using NVIVO," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1209-1228, April.
- Michael Weber & Martin Engert & Norman Schaffer & Jörg Weking & Helmut Krcmar, 2023. "Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI," Information Systems Frontiers, Springer, vol. 25(4), pages 1549-1569, August.
- Trautwein, Yannik & Zechiel, Felix & Coussement, Kristof & Meire, Matthijs & Büttgen, Marion, 2025. "Opening the ‘black box’ of HRM algorithmic biases – How hiring practices induce discrimination on freelancing platforms," Journal of Business Research, Elsevier, vol. 192(C).
- Deepa, R. & Sekar, Srinivasan & Malik, Ashish & Kumar, Jitender & Attri, Rekha, 2024. "Impact of AI-focussed technologies on social and technical competencies for HR managers – A systematic review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- Zhang, Haili & Song, Michael & Wang, Yufan, 2023. "Does AI-infused operations capability enhance or impede the relationship between information technology capability and firm performance?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
- Manal Ahdadou & Abdellah Aajly & Mohamed Tahrouch, 2024. "Unlocking the potential of augmented intelligence: a discussion on its role in boardroom decision-making," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(3), pages 433-446, September.
- Ritala, Paavo & Aaltonen, Päivi & Ruokonen, Mika & Nemeh, Andre, 2024. "Developing industrial AI capabilities: An organisational learning perspective," Technovation, Elsevier, vol. 138(C).
- Karmila Rafiqah M. Rafiq & Harwati Hashim & Melor Md Yunus, 2021. "Sustaining Education with Mobile Learning for English for Specific Purposes (ESP): A Systematic Review (2012–2021)," Sustainability, MDPI, vol. 13(17), pages 1-18, August.
- Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
- Hoffmann, Stefan & Lasarov, Wassili & Dwivedi, Yogesh K., 2024. "AI-empowered scale development: Testing the potential of ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- Sreedhar Madhavaram & Radha Appan, 2024. "AI for marketing: Enabler? Engager? Ersatz?," AMS Review, Springer;Academy of Marketing Science, vol. 14(3), pages 258-277, December.
- Whittaker, Lucas & Mulcahy, Rory & Letheren, Kate & Kietzmann, Jan & Russell-Bennett, Rebekah, 2023. "Mapping the deepfake landscape for innovation: A multidisciplinary systematic review and future research agenda," Technovation, Elsevier, vol. 125(C).
- Simón, Cristina & Revilla, Elena & Jesús Sáenz, Maria, 2024. "Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach," Journal of Business Research, Elsevier, vol. 182(C).
- Alina Köchling & Marius Claus Wehner & Sascha Alexander Ruhle, 2025. "This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development systems," Review of Managerial Science, Springer, vol. 19(4), pages 1195-1228, April.
- Athanasios Polyportis & Nikolaos Pahos, 2024. "Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
- Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023.
"The Refugee’s Dilemma: Evidence from Jewish Migration out of Nazi Germany,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 1273-1345.
- Johannes Buggle & Mathias Thoenig & Thierry Mayer & Seyhun Orcan Sakalli, 2020. "The Refugee’s Dilemma:Evidence from Jewish Migration out of Nazi Germany," Cahiers de Recherches Economiques du Département d'économie 20.01, Université de Lausanne, Faculté des HEC, Département d’économie.
- Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee's Dilemma: Evidence from Jewish Migration out of Nazi Germany," SciencePo Working papers Main hal-03861721, HAL.
- Thoenig, Mathias & Buggle, Johannes & Mayer, Thierry & Sakalli, Seyhun Orcan, 2020. "The Refugee's Dilemma: Evidence from Jewish Migration out of Nazi Germany," CEPR Discussion Papers 15533, C.E.P.R. Discussion Papers.
- Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee's Dilemma: Evidence from Jewish Migration out of Nazi Germany," Post-Print hal-03861721, HAL.
- Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2022. "The Refugee's Dilemma: Evidence from Jewish Migration out of Nazi Germany," Working Papers hal-03799567, HAL.
- Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2022. "The Refugee's Dilemma: Evidence from Jewish Migration out of Nazi Germany," SciencePo Working papers Main hal-03799567, HAL.
- Mujcic, Redzo & Frijters, Paul, 2013. "Still Not Allowed on the Bus: It Matters If You're Black or White!," IZA Discussion Papers 7300, Institute of Labor Economics (IZA).
- Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
- Monica Lestari Paramita & Maria Kasinidou & Styliani Kleanthous & Paolo Rosso & Tsvi Kuflik & Frank Hopfgartner, 2024. "Towards improving user awareness of search engine biases: A participatory design approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(5), pages 581-599, May.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x25000089. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.