Is AI recruiting (un) ethical? A human rights perspective on the use of AI for hiring
Open accessAbstract
The use of artificial intelligence (AI) technologies in organizations' recruiting and selection procedures has become commonplace in business practice; accordingly, research on AI recruiting has increased substantially in recent years. But, though various articles have highlighted the potential opportunities and ethical risks of AI recruiting, the topic has not been normatively assessed yet. We aim to fill this gap by providing an ethical analysis of AI recruiting from a human rights perspective. In doing so, we elaborate on human rights' theoretical implications for corporate use of AI-driven hiring solutions. Therefore, we analyze whether AI hiring practices inherently conflict with the concepts of validity, autonomy, nondiscrimination, privacy, and transparency, which represent the main human rights relevant in this context. Concluding that these concepts are not at odds, we then use existing legal and ethical implications to determine organizations' responsibility to enforce and realize human rights standards in the context of AI recruiting.
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Many AI-driven recruitment tools have exhibited biases, favoring specific candidates and overlooking job requisites.
“Many AI-driven recruitment tools have exhibited biases, favoring specific candidates and overlooking job requisites [307,308].”
From AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023) · cites this paper as [307]
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Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774 · cited 4× · see citing works
“• Transparency The outcomes of AI decisions are beyond the full control of human beings, making it difficult to trace responsibilities [17].”
BackgroundInfluentialThe Black Box Society: The Secret Algorithms That Control Money and Information
Pasquale, F. (2015) · doi:10.4159/harvard.9780674736061 · Cited by 3,796 · see citing works
The ethics of algorithms: Mapping the debate
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016) · Big Data & Society · doi:10.1177/2053951716679679 · Cited by 3,432 · cited 1× · see citing works
“These properties, such as automated decision-making, use of historic data, access to private data [42, 43], and AI’s black-box character [44, 45], highlight potential areas of human rights violations, as they could stand in a more general—perhaps even inherent—conflict with specific human rights, as discussed in the l…”
BackgroundKaplan, A., & Haenlein, M. (2019) · Business Horizons · doi:10.1016/j.bushor.2018.08.004 · Cited by 3,140 · see citing works
Algorithms at Work: The New Contested Terrain of Control
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732 · see citing works
The Ethics of AI Ethics: An Evaluation of Guidelines
Hagendorff, T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09517-8 · Cited by 1,911 · cited 1× · see citing works
“, 70, 71] and in various frameworks [14, 17], its exact meaning remains disputed.”
BackgroundAnanny, M., & Crawford, K. (2018) · New Media & Society · doi:10.1177/1461444816676645 · Cited by 1,836 · see citing works
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward
Tambe, P., Cappelli, P., & Yakubovich, V. (2019) · California Management Review · doi:10.1177/0008125619867910 · Cited by 1,609 · see citing works
Lee, M. K. (2018) · Big Data & Society · doi:10.1177/2053951718756684 · Cited by 1,338 · see citing works
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3518482 · Cited by 998 · see citing works
Working and organizing in the age of the learning algorithm
Faraj, S., Pachidi, S., & Sayegh, K. (2018) · Information and Organization · doi:10.1016/j.infoandorg.2018.02.005 · Cited by 929 · see citing works
Mitigating bias in algorithmic hiring: evaluating claims and practices
Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency · doi:10.1145/3351095.3372828 · Cited by 845 · see citing works
Impact of business analytics and enterprise systems on managerial accounting
Appelbaum, D. A., Kogan, A., Vasarhelyi, M. A., & Yan, Z. (2017) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2017.03.003 · Cited by 563 · see citing works
Human + Machine : Reimagining Work in the Age of AI
Daugherty, P. R. (2021) · Cited by 556 · see citing works
Newman, D. T., Fast, N. J., & Harmon, D. J. (2020) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2020.03.008 · Cited by 550 · see citing works
Köchling, A., & Wehner, M. C. (2020) · Business Research · doi:10.1007/s40685-020-00134-w · Cited by 511 · see citing works
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AIPreprint
Wachter, S., Mittelstadt, B., & Russell, C. (2020) · Computer Law and Security Review · doi:10.2139/ssrn.3547922 · Cited by 448 · see citing works
Ethics of AI-enabled recruiting and selection: a review and research agenda
Hunkenschroer, A. L., & Luetge, C. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05049-6 · Cited by 447 · see citing works
Self-citationAI-enabled recruiting: What is it and how should a manager use it?
Black, J. S., & van Esch, P. (2020) · Business Horizons · doi:10.1016/j.bushor.2019.12.001 · Cited by 403 · see citing works
Working for an Algorithm: Power Asymmetries and Agency in Online Work Settings
Curchod, C., Patriotta, G., Cohen, L., & Neysen, N. (2020) · Administrative Science Quarterly · doi:10.1177/0001839219867024 · Cited by 364 · see citing works
The dark sides of people analytics: Reviewing the perils for organisations and employees
Giermindl, L. M., Strich, F., Christ, O., Leicht-Deobald, U., & Redzepi, A. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1927213 · Cited by 331 · see citing works
Business and Human Rights: The Evolving International Agenda
Ruggie, J. G. (2007) · American Journal of International Law · doi:10.1017/s0002930000037738 · Cited by 282 · see citing works
Strengthening legal protection against discrimination by algorithms and artificial intelligence
Zuiderveen Borgesius, F. J. (2020) · The International Journal of Human Rights · doi:10.1080/13642987.2020.1743976 · Cited by 267 · see citing works
Justice perceptions of artificial intelligence in selection
Açıkgöz, Y., Davison, H. K., Compagnone, M., & Laske, M. M. (2020) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12306 · Cited by 263 · see citing works
Validity in work‐based assessment: expanding our horizons
Govaerts, M., & van der Vleuten, C. P. M. (2013) · Medical Education · doi:10.1111/medu.12289 · Cited by 250 · see citing works
An Introduction to Ethics in Robotics and AI
Bartneck, C., Lütge, C., Wagner, A. R., & Welsh, S. (2020) · SpringerBriefs in ethics · doi:10.1007/978-3-030-51110-4 · Cited by 248 · see citing works
New Talent Signals: Shiny New Objects or a Brave New World?
Chamorro‐Premuzic, T., Winsborough, D., Sherman, R. A., & Hogan, R. (2016) · Industrial and Organizational Psychology · doi:10.1017/iop.2016.6 · Cited by 224 · see citing works
Designing for human rights in AI
Aizenberg, E., & van den Hoven, J. (2020) · Big Data & Society · doi:10.1177/2053951720949566 · Cited by 220 · see citing works
AI and Big Data: A blueprint for a human rights, social and ethical impact assessment
Mantelero, A. (2018) · Computer Law and Security Review · doi:10.1016/j.clsr.2018.05.017 · Cited by 203 · see citing works
Integrative Social Contracts Theory
Donaldson, T. J., & Dunfee, T. W. (1995) · Economics and Philosophy · doi:10.1017/s0266267100003230 · Cited by 200 · see citing works
Sánchez-Monedero, J., Dencik, L., & Edwards, L. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency · doi:10.1145/3351095.3372849 · Cited by 196 · see citing works
van Esch, P., & Black, J. S. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.07.004 · Cited by 186 · see citing works
Oswald, F. L., Behrend, T. S., Putka, D. J., & Sinar, E. F. (2019) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-032117-104553 · Cited by 174 · see citing works
When Ethics Travel: The Promise and Peril of Global Business Ethics
Donaldson, T. J., & Dunfee, T. W. (1999) · California Management Review · doi:10.1177/000812569904100401 · Cited by 174 · see citing works
Wettstein, F. (2015) · Journal of Human Rights · doi:10.1080/14754835.2015.1005733 · Cited by 167 · see citing works
Durand, R. (2003) · Strategic Management Journal · doi:10.1002/smj.339 · Cited by 166 · see citing works
Implementations in Machine Ethics
Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020) · ACM Computing Surveys · doi:10.1145/3419633 · Cited by 149 · see citing works
The datafication of talent: how technology is advancing the science of human potential at work
Chamorro‐Premuzic, T., Akhtar, R., Winsborough, D., & Sherman, R. A. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.04.007 · Cited by 146 · see citing works
Ethical Considerations in AI-Based Recruitment
Mujtaba, D. F., & Mahapatra, N. R. (2019) · IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas48451.2019.8937920 · Cited by 142 · see citing works
Assessment of Complex Performances: Limitations of Key Measurement Assumptions
Delandshere, G., & Petrosky, A. R. (1998) · Educational Researcher · doi:10.3102/0013189x027002014 · Cited by 136 · see citing works
Lantolf, J. P., & Frawley, W. (1988) · Studies in Second Language Acquisition · doi:10.1017/s0272263100007300 · Cited by 131 · see citing works
From human resources to human rights: Impact assessments for hiring algorithms
Yam, J., & Skorburg, J. A. (2021) · Ethics and Information Technology · doi:10.1007/s10676-021-09599-7 · Cited by 131 · see citing works
Algorithmic equity in the hiring of underrepresented IT job candidates
Yarger, L., Cobb Payton, F., & Neupane, B. (2019) · Online Information Review · doi:10.1108/oir-10-2018-0334 · Cited by 122 · see citing works
Mann, M., & Matzner, T. (2019) · Big Data & Society · doi:10.1177/2053951719895805 · Cited by 109 · see citing works
Santoro, M. A. (2000) · Cornell University Press eBooks · doi:10.7591/9781501718441 · Cited by 107 · see citing works
Implementations in Machine Ethics A Survey
Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-197237 · Cited by 102 · see citing works
Predicting Personality Using Answers to Open-Ended Interview Questions
Jayaratne, M., & Jayatilleke, B. (2020) · IEEE Access · doi:10.1109/access.2020.3004002 · Cited by 94 · see citing works
Highly Accurate, But Still Discriminatory
Köchling, A., Riazy, S., Wehner, M., & Simbeck, K. (2020) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00673-w · Cited by 90 · see citing works
Why a Right to an Explanation of Algorithmic Decision-Making Should Exist: A Trust-Based Approach
Kim, T. W., & Routledge, B. (2021) · Business Ethics Quarterly · doi:10.1017/beq.2021.3 · Cited by 89 · see citing works
Artificial intelligence and human rights: a business ethical assessment
KRIEBITZ, A., & LÜTGE, C. (2020) · Business and Human Rights Journal · doi:10.1017/bhj.2019.28 · Cited by 76 · see citing works
Self-citationEngineering Equity: How AI Can Help Reduce the Harm of Implicit Bias
Lin, Y.-T., Hung, T.-W., & Huang, L. T.-L. (2020) · Philosophy & Technology · doi:10.1007/s13347-020-00406-7 · Cited by 70 · see citing works
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Peña, A., Serna, I., Morales, A., & Fiérrez, J. (2020) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00022 · Cited by 68 · see citing works
AI and recruiting software: Ethical and legal implications
Fernández-Martínez, C., & Fernández, A. (2020) · Paladyn J. Behav. Robotics · doi:10.1515/pjbr-2020-0030 · Cited by 66 · see citing works
Recruitment in the Times of Machine Learning
Rąb-Kettler, K., & Lehnervp, B. (2019) · Management Systems in Production Engineering · doi:10.1515/mspe-2019-0018 · Cited by 59 · see citing works
Business and Human Rights in Historical Perspective
Santoro, M. A. (2015) · Journal of Human Rights · doi:10.1080/14754835.2015.1025945 · Cited by 57 · see citing works
Achieving Ethics and Fairness in Hiring: Going Beyond the Law
Alder, G. S., & Gilbert, J. T. (2006) · Journal of Business Ethics · doi:10.1007/s10551-006-9039-z · Cited by 52 · see citing works
Simbeck, K. (2019) · IBM Journal of Research and Development · doi:10.1147/jrd.2019.2915067 · Cited by 47 · see citing works
Vasconcelos, M., Cardonha, C., & Gonçalves, B. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3278721.3278751 · Cited by 38 · see citing works
Corporate Responsibility for Wealth Creation and Human Rights
Enderlé, G. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108913966 · Cited by 28 · see citing works
Implicit Bias in Predictive Data Profiling Within Recruitments
Persson, A. (2016) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-55783-0_15 · Cited by 20 · see citing works
Evaluations: Autonomy and Artificial Intelligence: A Threat or Savior?
Lawless, W. F., & Sofge, D. (2017) · Springer eBooks · doi:10.1007/978-3-319-59719-5_13 · Cited by 20 · see citing works
Hunkenschroer, A. (2021) · AI Ethics Journal · doi:10.47289/aiej20210716-3 · Cited by 18 · see citing works
Self-citationSójka, J., & Wempe, J. F. D. B. (2000) · Springer eBooks · doi:10.1007/978-94-011-4311-0_1 · Cited by 11 · see citing works
Flagged first, then by citations
1 of the 64 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- [12]Latonero, M.: Governing artificial intelligence. Upholding human rights & dignity. Data & Society, pp. 1–37 (2018)
- [43]Van Otterlo M Hildebrandt M Vries KD A machine learning view on profiling Privacy, Due Process and the Computational Turn-Philosophers of Law Meet Philosophers of Technology 2013 Abingdon Routledge 41 64
- [44]Pasquale F The Black Box Society 2015 Cambridge Harvard University Press
- [58]Gal, U., Jensen, T.B., Stein, M.K.: People analytics in the age of big data: an agenda for is research. In: International Conference on Information Systems, Seoul, South Korea (2017)
- [76]Van Den Hoven, J., Manders-Huits, N.: the person as risk, the person at risk. In: ETHICOMP: Living, Working And Learning Beyond Technology, Mantua, Italy, September 24–26, pp. 408–414. (2008)
- [84]Bîgu, D., Cernea, M.-V.: Algorithmic bias in current hiring practices: an ethical examination. In: 13th International Management Conference (IMC) on Management Strategies for High Performance. 13th International Management Conference (IMC) on Management Strategies for High Performance, Bucharest, Romania, October 31–November 1 (2019)
Cited by
Sorted by citations
AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications
Chen, P., Wu, L., & Wang, L. (2023) · Applied Sciences · doi:10.3390/app131810258 · Cited by 155 · see citing works
A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring
Albaroudi, E., Mansouri, T., & Alameer, A. (2024) · AI · doi:10.3390/ai5010019 · Cited by 191 · see citing works
Rigotti, C., & Fosch‐Villaronga, E. (2024) · Computer law & security review · doi:10.1016/j.clsr.2024.105966 · Cited by 164 · see citing works
Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures
Lavanchy, M., Reichert, P., Narayanan, J., & Savani, K. (2023) · Journal of Business Ethics · doi:10.1007/s10551-022-05320-w · Cited by 120 · see citing works
Toward Explainable Affective Computing: A Review
Cortiñas-Lorenzo, K., & Lacey, G. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3270027 · Cited by 78 · see citing works
Veiga, S. P. D. M., Figueroa-Armijos, M., & Clark, B. B. (2023) · Journal of Business Ethics · doi:10.1007/s10551-023-05380-6 · Cited by 46 · see citing works
Hughes, L., Mavi, R. K., Aghajani, M., Fitzpatrick, K., Senali, M. G., Shekarabi, S. A. H., Hughes, R., Khanfar, A. A. A., Khatavakhotan, A. S., Mavi, N. K., et al. (2025) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2025.100772 · Cited by 60 · see citing works
Gender equity in hiring: examining the effectiveness of a personality-based algorithm
Kubiak, E., Efremova, M. I., Baron, S., & Frasca, K. J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1219865 · Cited by 26 · see citing works
ChatGPT vs human expertise in the context of IT recruitment
Szandała, T. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125868 · Cited by 23 · see citing works
Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment
Kim, C., Choi, J., Yoon, J., Yoo, D., & Lee, W. (2023) · IEEE Access · doi:10.1109/access.2023.3325891 · Cited by 26 · see citing works
Incorporating artificial intelligence (AI) into recruitment processes: ethical considerations
Sýkorová, Z., Hague, D., Dvouletý, O., & Procházka, D. A. (2024) · Vilakshan – XIMB Journal of Management · doi:10.1108/xjm-02-2024-0039 · Cited by 32 · see citing works
Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM
Du, J. (2024) · Journal of Theory and Practice of Management Science · doi:10.53469/jtpms.2024.04(03).06 · Cited by 18 · see citing works
Laukkarinen, M. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2476715 · Cited by 16 · see citing works
Cracking the AI recruitment code: Striving for transparency in finding the right person–job fit
Chen, A., Han, F., Zhang, X., & Lu, Y. (2025) · Information & Management · doi:10.1016/j.im.2025.104156 · Cited by 19 · see citing works
Fairness in AI systems development: EU AI Act compliance and beyond
Westerstrand, S. (2025) · Information and Software Technology · doi:10.1016/j.infsof.2025.107864 · Cited by 16 · see citing works
Simulated misuse of large language models and clinical credit systems
Anibal, J., Huth, H. B., Gunkel, J., Gregurick, S. K., & Wood, B. J. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01306-2 · Cited by 13 · see citing works
Xiong, Y., & Kim, J. K. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100120 · Cited by 17 · see citing works
Hisan, U. K., & Amri, M. M. (2022) · Journal of Public Health Sciences · doi:10.56741/jphs.v1i02.214 · Cited by 10 · see citing works
Ethics in international HRD: examining conversational AI and HR chatbots
Andreas, N. B. (2024) · Strategic HR Review · doi:10.1108/shr-03-2024-0018 · Cited by 10 · see citing works
Improving Industry 4.0 to Human-Centric Industry 5.0 in Light of the Protection of Human Rights
Pusztahelyi, R., & Stefán, I. (2024) · International Carpathian Control Conference · doi:10.1109/iccc62069.2024.10569569 · Cited by 9 · see citing works
Ensuring Fairness and Non-discrimination in Explainable AI
Akhtar, M. A. K., Kumar, M., & Nayyar, A. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-66489-2_6 · Cited by 8 · see citing works
Algorithmic solutions, subjectivity and decision errors: a study of AI accountability
Biju, P. R., & Gayathri, O. (2024) · Digital Policy Regulation and Governance · doi:10.1108/dprg-05-2024-0090 · Cited by 7 · see citing works
Organizational Impact of AI-Driven Recruitment Practices: A Mixed‑Methods Study
Kulal, A., Dinesh, S., & Abhishek, N. (2025) · Journal of Computer Information Systems · doi:10.1080/08874417.2025.2508860 · Cited by 7 · see citing works
Integrating Machine Learning With Human Decision Making in HR
Ravikumar, R. N., & Aarthi, S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1676-5.ch005 · Cited by 7 · see citing works
Zawada, M. (2024) · System Safety Human - Technical Facility - Environment · doi:10.2478/czoto-2024-0026 · Cited by 7 · see citing works
The Emerging Technology in Hiring: Insights from Assembly Line Workers and Managers
Chang, K., & Cheng, K.-T. (2025) · Administrative Sciences · doi:10.3390/admsci15120463 · Cited by 7 · see citing works
Huang, B. (., Kang, H., Zur, E., & Liang, L. H. (2026) · Human Resource Management Review · doi:10.1016/j.hrmr.2026.101151 · Cited by 7 · see citing works
Addressing diversity in hiring procedures: a generative adversarial network approach
Marra, T., & Kubiak, E. (2024) · AI and Ethics · doi:10.1007/s43681-024-00445-2 · Cited by 6 · see citing works
Biju, P., & Gayathri, O. (2024) · Journal of Social Computing · doi:10.23919/jsc.2024.0018 · Cited by 5 · see citing works
The Effects of Artificial Intelligence in the Process of Recruiting Candidates
Abuladze, L., & Hasimi, L. (2023) · Lecture notes in business information processing · doi:10.1007/978-3-031-30694-5_34 · Cited by 7 · see citing works
Governing AI in Hiring: An Effort to Eliminate Biased Decision
Jibril, M., & Florentina, T. A. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-3076-6_4 · Cited by 5 · see citing works
Sociotechnical imaginaries of social inequality in the design and use of AI recruitment technology
Sartori, L., & Collett, C. (2025) · European Societies · doi:10.1162/euso_a_00035 · Cited by 5 · see citing works
Hussien, O. A. A. M., Hasanaj, K., Kaya, A., Jahankhani, H., & El‐Deeb, S. (2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83549-001-320241005 · Cited by 4 · see citing works
Using Artificial Intelligence in Employment: Problems and Prospects of Legal Regulation
Novikov, D. A. (2024) · Journal of Digital Technologies and Law · doi:10.21202/jdtl.2024.31 · Cited by 6 · see citing works
Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework
Kafali, E., Preuveneers, D., Semertzidis, T., & Daras, P. (2024) · Big Data and Cognitive Computing · doi:10.3390/bdcc8110142 · Cited by 3 · see citing works
Exploring the Role of AI in Career Access Through a Social Justice Lens
Buchanan, R. (2025) · Nordic Journal of Transitions Careers and Guidance · doi:10.16993/njtcg.77 · Cited by 4 · see citing works
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Xu, J., Li, G., & Jiang, J. Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5417394 · Cited by 3 · see citing works
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Anoop, A., Kumar, D. S., Gopika, S., & Madhavan, V. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-97-8602-2_5 · Cited by 2 · see citing works
Al-Hudaibi, Z. H., Almatar, R. M., Alwabari, Z. A., Al-Duhailan, O. M., Alsuwailem, H. M., & Alhajji, Z. (2025) · Journal of Advanced Trends in Medical Research · doi:10.4103/atmr.atmr_41_25 · Cited by 2 · see citing works
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Gökçe, A. T. (2025) · Education and human development · doi:10.5772/intechopen.1012230 · Cited by 2 · see citing works
Gajavalli, S. H., Koizumi, J., & Hasan, R. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791102 · Cited by 2 · see citing works
To AI or Not to AI: That Is the Question in Mental Health Nurse Recruitment
Hockley, J., Irwin, P., Kornhaber, R. A., West, S., Stanton, R., Hungerford, C. L., & Cleary, M. L. (2024) · Issues in Mental Health Nursing · doi:10.1080/01612840.2024.2341043 · Cited by 3 · see citing works
Ahmad, N. (2024) · Sustainable development goals series · doi:10.1007/978-981-97-3234-0_8 · Cited by 2 · see citing works
Ford, J. (2025) · Management System Engineering · doi:10.1007/s44176-025-00043-4 · Cited by 6 · see citing works
Brand, J. L. M. (2025) · Philosophy & Technology · doi:10.1007/s13347-025-00911-7 · Cited by 2 · see citing works
Khan, R. H., & Balapumi, R. (2024) · Wiley eBooks · doi:10.1002/9781394234028.ch24 · Cited by 2 · see citing works
The Role of Governments, Employers, and Platforms to Cope With the Skill Gaps in Industry 4.0
Mood, M. M., Ghamary, M., & Youshanlouei, H. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-7478-8.ch006 · Cited by 1 · see citing works
Szumal, Ł. (2025) · Humanitas Zarządzanie. · doi:10.5604/01.3001.0055.1173 · Cited by 1 · see citing works
Bridging Technology and Talent: Gen Z's Take on AI in Recruiting and Hiring
Holostencu, L.-F., & Diaconescu, V. (2025) · International Scientific Conference Central and Eastern Europe in the Changing Business Environment · doi:10.53465/ceecbe.2025.9788022552257.273-288 · Cited by 1 · see citing works
AI-driven hiring: a boon or a barrier to finding the right talent?
Kim, S. D. (2025) · AI & Society · doi:10.1007/s00146-025-02434-3 · Cited by 1 · see citing works
A Case Study of the FRIA Project: Supporting Human Evaluation of an AI-Based Hiring System
Gatt, L., Caggiano, I. A., Gaeta, M. C., Troisi, E., Conte, M. T. L., Trasarti, R., Savella, R., Cristo, M. D., & Pratesi, F. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-97781-7_8 · Cited by 1 · see citing works
AI in Social Divides: Data Policies, Structural Oppression, and Decision Automation in India
Biju, P. R., & Gayathri, O. (2025) · Journal of Social Computing · doi:10.23919/jsc.2025.0021 · Cited by 1 · see citing works
A Framework for Responsible AI in Higher Education
Bilgin, H. (2025) · Higher Education Governance and Policy · doi:10.55993/hegp.1788343 · Cited by 2 · see citing works
Artificial Intelligence for Human Resource Management: A Review, Perspective, and Case Study
Nguyen, D. H., Tran, K. D., Luong, N. A., Ánh, L. M., Thomassey, S., & Tran, K. P. (2026) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-032-14055-5_9 · Cited by 1 · see citing works
Potential for Harm and Privacy Are Top AI Ethics Concerns: Evidence From a Representative UK Survey
Grassini, S., Mamsheli, S. T., Paulsen, A. T., Menicucci, D., & Cipriani, E. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2666666 · Cited by 1 · see citing works
Mncwabe, M., & Paepae, T. (2026) · Informatics · doi:10.3390/informatics13060094 · Cited by 1 · see citing works
A Review Paper: Will Artificial Intelligence (AI) Replace the Human Recruiter?
Kharbanda, P. R., & -, N. M. (2023) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2023.v05i04.4425 · Cited by 1 · see citing works
Morin, S. L. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-1906-2.ch004 · Cited by 1 · see citing works
Vavzhenchuk, S., & Zhmaka, V. (2024) · Problems of Legality · doi:10.21564/2414-990x.164.288964 · Cited by 1 · see citing works
Deschênes, A.-A., Beaudry, C. A., & Yaya, M. S. (2024) · Ad machina · doi:10.1522/radm.no8.1837 · Cited by 1 · see citing works
Empowering Women Entrepreneurs: Is Digital Recruitment for Organizational Resilience?
Juneja, D., Han, J. W., & Tran, Q. N. (2025) · Springer eBooks · doi:10.1007/978-981-97-9835-3_2 · Cited by 1 · see citing works
Evolution of Human Rights Through Literature and Law
Chattopadhyay, S., Choudhury, R. R., & Chakraborty, P. (2025) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-9035-1.ch004 · Cited by 1 · see citing works
Li, S. (2023) · Удружење за право осигурања ; Удружење осигуравача Србије eBooks · doi:10.18485/aida.2023.24.ch16
Khandekar, S. R., & Mane, P. (2024) · ANVESHAK-International Journal of Management · doi:10.15410/aijm/2024/v13i2/173231
Introduction to The Elgar Companion to Applied AI Ethics
Kriebitz, A., Lütge, C., Corrigan, C., & Max, R. (2024) · Edward Elgar Publishing eBooks · doi:10.4337/9781803928241.00006
Self-citationProxy Discrimination Risks in Hiring: A Qualitative Analysis of a Set of Real CVsPreprint
Bhatia, K. V., Capasso, M., Arora, P., Castillo, C., & Saldivar, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5048771
A mesterséges intelligencia munkahelyi alkalmazása és annak hatása a munkavállalók alapjogaira
Stefán, I. (2025) · Publicationes Universitatis Miskolcinensis Sectio Juridica et Politica · doi:10.32978/sjp.2025.013
Boutrouille, M., Fichet, L., & Dinet, J. (2025) · doi:10.2196/preprints.86054
Research on the Influencing Factors of Intention to Use Artificial Intelligence Recruitment
Zhu, Q., Yang, L., & Da, E. T. W. (2025) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-95-1595-0_72
Explaining Hallucination of Artificial Intelligence in Data-Driven Decision-Making
Kabir, Z. S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-5702-7.ch004
Quota Hiring Using Artificial Intelligence
Viganò, A., & Magnani, A. (2025) · Springer eBooks · doi:10.1007/978-3-031-40858-8_579-1
Techno-Solutionism and Age Discourse in the AI Industry
Linares-Lanzman, J., Falco, E., & Çelik, Ö. (2025) · Bulletin of Science Technology & Society · doi:10.1177/02704676251397845
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Şenkul, G., & Halıcı, A. (2025) · Nişantaşı üniversitesi sosyal bilimler dergisi/Nişantaşı Üniversitesi sosyal bilimler dergisi · doi:10.52122/nisantasisbd.1751398
Towards Trustworthy AI: Guidelines for Operationalization and Responsible Adoption
Vedashree, R., Sahiba, J., & Agarwal, B. (2025) · Data science, machine intelligence, and law · doi:10.1007/978-3-032-02762-7_7 · Cited by 1 · see citing works
Tackling Global AI-Driven Hiring Bias: A Literature Review from an HCI Perspective
Li, H., Damodaran, S., & Best, M. L. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-13167-6_1
Sakib, M. N., Rayasam, N. M., & Dey, S. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816931 · Cited by 2 · see citing works
Nowak, M., & Pawłowska-Nowak, M. (2026) · AI · doi:10.3390/ai7020053
Der KI-basierte Rekrutierungsprozess im Personalwesen: Eine Literaturanalyse
Heinrich, K., & Parafeeva, E. (2026) · Springer eBooks · doi:10.1007/978-3-658-50111-2_12
Opportunities, Risks and Ethics in Rising AI-Powered Hiring
Niroula, N. P., & Sharma, P. D. G. (2026) · The Voice of Creative Research · doi:10.53032/tvcr/2026.v8n1.13
Nag, D., Berry, P. M., Jones, K. P., Arena, D. F., & Lindsey, A. (2026) · Journal of Business and Psychology · doi:10.1007/s10869-026-10112-4
Boutrouille, M., Fichet, L., & Dinet, J. (2026) · JMIR Serious Games · doi:10.2196/86054
Hosain, M. S., Mustafi, M. A. A., Mamun, A. M. A., & Islam, M. M. (2026) · Human-Intelligent Systems Integration · doi:10.1007/s42454-026-00094-2
He, C., Jahangirirad, P., Kyi, L., & Biega, A. J. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791802
Transparency in the datafied workplace: Law, workers, and job applicant perspectives
Rigotti, C., Fernandes, D. A., Mut-Piña, A., & Fosch‐Villaronga, E. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103387 · Cited by 1 · see citing works
Ethical Challenges of Using Artificial Intelligence in Human Resources Management
Bolcan, A. E. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4227-6.ch013
Perdana, A. (2026) · AI and Ethics · doi:10.1007/s43681-026-01186-0
Morales, A. G., López, M. D. M. M., & Góngora-Larequi, F. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01488-6
Huang, L. T.-L., Lin, Y.-T., & Sechman, M. S. (2026) · Review of Philosophy and Psychology · doi:10.1007/s13164-026-00814-2
The phantom candidate: A framework for combating AI-enabled identity deception in remote hiring
Patel, P. C. (2026) · Human Resource Management Review · doi:10.1016/j.hrmr.2026.101165
Shi, X. C., Leung, X. Y., Bai, B., & Buhalis, D. (2026) · Tourism Management · doi:10.1016/j.tourman.2026.105478
Voronoi, D. V. (2026) · Vestnik of Samara State University of Economics · doi:10.46554/1993-0453-2026-6-260-74-83
Ethical Challenges of Using Artificial Intelligence in Human Resource Management: A Synthesis Study
Khosravitanak, M., & Pourshafei, H. (2025) · Management and Development Process · doi:10.66224/jmdp.38.3.79
AI in Energy Sector HR Recruitment: Balancing Efficiency, Bias Reduction, and Human Touch
Sultana, A. (2023) · Asia Pacific Journal of Energy and Environment · doi:10.18034/apjee.v10i1.806
Humanism and AI-Driven Vulnerabilities: Customers, Partners, Employees
Fioravante, R., & Vaccaro, A. (2026) · Humanism in business series · doi:10.1007/978-3-032-17121-4_5
AI as a Mean to Integral Human Development: Performing Ethical Decision-Making
Fioravante, R., & Vaccaro, A. (2026) · Humanism in business series · doi:10.1007/978-3-032-17121-4_4
Humanism in Business and AI: Aligning Ethics and Technological Disruption
Fioravante, R., & Vaccaro, A. (2026) · Humanism in business series · doi:10.1007/978-3-032-17121-4_2
Ansari, M. S. A., Jonathan, H., Shaker, H., Farooquie, J. A., & Stakić, A. J. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01845-5
The Role of AI in Shaping Organizational Culture and Values
Makinde, O. F. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5213-8.ch016
Candidate Joining Prediction Using Random Forest and KNN
N, M. P. M. A. P. K. (2026) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-37781
- Authors
- Hunkenschroer, A. L., & Kriebitz, A.
- Affiliations
- Technical University of Munich (DE)
- Corresponding author
- Hunkenschroer, Anna Lena
- Venue
- AI and Ethics
- Published
- 2022-07-25
- Volume
- 3
- Issue
- 1
- Pages
- 199-213
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- PMC
- PMC9309597
- OpenAlex
- W4287218595
- Cited by
- 111
- References
- 64
- Citations by year
- 2026: 39 · 2025: 35 · 2024: 25 · 2023: 10 · 2022: 2
- FWCI
- 20.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI and Ethics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Keywords
- automated hiring, human rights, ethical analysis, validity, autonomy, non-discrimination, privacy, transparency, corporate social responsibility
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