IDEAS home Printed from https://ideas.repec.org/a/kap/jbuset/v178y2022i4d10.1007_s10551-022-05049-6.html
   My bibliography  Save this article

Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda

Author

Listed:
  • Anna Lena Hunkenschroer

    (Technical University of Munich)

  • Christoph Luetge

    (Technical University of Munich)

Abstract

Companies increasingly deploy artificial intelligence (AI) technologies in their personnel recruiting and selection process to streamline it, making it faster and more efficient. AI applications can be found in various stages of recruiting, such as writing job ads, screening of applicant resumes, and analyzing video interviews via face recognition software. As these new technologies significantly impact people’s lives and careers but often trigger ethical concerns, the ethicality of these AI applications needs to be comprehensively understood. However, given the novelty of AI applications in recruiting practice, the subject is still an emerging topic in academic literature. To inform and strengthen the foundation for future research, this paper systematically reviews the extant literature on the ethicality of AI-enabled recruiting to date. We identify 51 articles dealing with the topic, which we synthesize by mapping the ethical opportunities, risks, and ambiguities, as well as the proposed ways to mitigate ethical risks in practice. Based on this review, we identify gaps in the extant literature and point out moral questions that call for deeper exploration in future research.

Suggested Citation

  • Anna Lena Hunkenschroer & Christoph Luetge, 2022. "Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda," Journal of Business Ethics, Springer, vol. 178(4), pages 977-1007, July.
    • Handle: RePEc:kap:jbuset:v:178:y:2022:i:4:d:10.1007_s10551-022-05049-6
    DOI: 10.1007/s10551-022-05049-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10551-022-05049-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10551-022-05049-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chamorro-Premuzic, Tomas & Winsborough, Dave & Sherman, Ryne A. & Hogan, Robert, 2016. "New Talent Signals: Shiny New Objects or a Brave New World?," Industrial and Organizational Psychology, Cambridge University Press, vol. 9(3), pages 621-640, September.
    2. G. Alder & Joseph Gilbert, 2006. "Achieving Ethics and Fairness in Hiring: Going Beyond the Law," Journal of Business Ethics, Springer, vol. 68(4), pages 449-464, November.
    3. Drago? BÃŽGU & Mihail-Valentin CERNEA, 2019. "Algorithmic Bias In Current Hiring Practices: An Ethical Examination," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1068-1073, November.
    4. Deborah Johnson, 2015. "Technology with No Human Responsibility?," Journal of Business Ethics, Springer, vol. 127(4), pages 707-715, April.
    5. Debora Jeske & Kenneth S. Shultz, 2019. "Social media screening and content effects: implications for job applicant reactions," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(1), pages 73-86, January.
    6. Ulrich Leicht-Deobald & Thorsten Busch & Christoph Schank & Antoinette Weibel & Simon Schafheitle & Isabelle Wildhaber & Gabriel Kasper, 2019. "The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity," Journal of Business Ethics, Springer, vol. 160(2), pages 377-392, December.
    7. Kirsten Martin, 2016. "Understanding Privacy Online: Development of a Social Contract Approach to Privacy," Journal of Business Ethics, Springer, vol. 137(3), pages 551-569, September.
    8. van Esch, Patrick & Black, J. Stewart, 2019. "Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting," Business Horizons, Elsevier, vol. 62(6), pages 729-739.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria Figueroa-Armijos & Brent B. Clark & Serge P. da Motta Veiga, 2023. "Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence," Journal of Business Ethics, Springer, vol. 186(1), pages 179-197, August.
    2. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    3. Sayed Fayaz Ahmad & Muhammad Mansoor Alam & Mohd. Khairil Rahmat & Muhammad Khalil Shahid & Mahnaz Aslam & Nur Agus Salim & Mohammed Hasan Ali Al-Abyadh, 2023. "Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    4. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    5. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    6. Suen, Hung-Yue & Hung, Kuo-En, 2024. "Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    7. Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.
    8. Deriu, Valerio & Pozharliev, Rumen & De Angelis, Matteo, 2024. "How trust and attachment styles jointly shape job candidates’ AI receptivity," Journal of Business Research, Elsevier, vol. 179(C).
    9. Lechardoy, Lucie & López Forés, Laura & Codagnone, Cristiano, 2023. "Artificial intelligence at the workplace and the impacts on work organisation, working conditions and ethics," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277997, International Telecommunications Society (ITS).

    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.
    1. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    2. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
    3. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Maria Figueroa-Armijos & Brent B. Clark & Serge P. da Motta Veiga, 2023. "Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence," Journal of Business Ethics, Springer, vol. 186(1), pages 179-197, August.
    5. Alina Köchling & Shirin Riazy & Marius Claus Wehner & Katharina Simbeck, 2021. "Highly Accurate, But Still Discriminatory," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 39-54, February.
    6. Deriu, Valerio & Pozharliev, Rumen & De Angelis, Matteo, 2024. "How trust and attachment styles jointly shape job candidates’ AI receptivity," Journal of Business Research, Elsevier, vol. 179(C).
    7. Craig Reeves & Matthew Sinnicks, 2024. "Totally Administered Heteronomy: Adorno on Work, Leisure, and Politics in the Age of Digital Capitalism," Journal of Business Ethics, Springer, vol. 193(2), pages 285-301, August.
    8. Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.
    9. Niyi Ogunbiyi & Artie Basukoski & Thierry Chaussalet, 2021. "An Exploration of Ethical Decision Making with Intelligence Augmentation," Social Sciences, MDPI, vol. 10(2), pages 1-14, February.
    10. Grace Fox & Lisa van der Werff & Pierangelo Rosati & Patricia Takako Endo & Theo Lynn, 2022. "Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: An extended privacy calculus perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 944-967, July.
    11. Pedro César Martínez-Morán & Jose Maria Fernández-Rico Urgoiti & Fernando Díez & Josu Solabarrieta, 2021. "The Digital Transformation of the Talent Management Process: A Spanish Business Case," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    12. Nick Lüthi & Christian Matt & Thomas Myrach & Iris Junglas, 2023. "Augmented Intelligence, Augmented Responsibility?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 391-401, August.
    13. 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).
    14. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    15. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
    16. Evgenia I. Lysova & Jennifer Tosti-Kharas & Christopher Michaelson & Luke Fletcher & Catherine Bailey & Peter McGhee, 2023. "Ethics and the Future of Meaningful Work: Introduction to the Special Issue," Journal of Business Ethics, Springer, vol. 185(4), pages 713-723, July.
    17. Anjuli Franz & Alexander Benlian, 2022. "Exploring interdependent privacy – Empirical insights into users’ protection of others’ privacy on online platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2293-2309, December.
    18. Mahmoud Abdulhadi Alabdali & Sami A. Khan & Muhammad Zafar Yaqub & Mohammed Awad Alshahrani, 2024. "Harnessing the Power of Algorithmic Human Resource Management and Human Resource Strategic Decision-Making for Achieving Organizational Success: An Empirical Analysis," Sustainability, MDPI, vol. 16(11), pages 1-30, June.
    19. Lukas Lanz & Roman Briker & Fabiola H. Gerpott, 2024. "Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning," Journal of Business Ethics, Springer, vol. 189(3), pages 625-646, January.
    20. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong, 2021. "Drivers and Inhibitors of Internet Privacy Concern: A Multidimensional Development Theory Perspective," Journal of Business Ethics, Springer, vol. 168(3), pages 539-564, January.

    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:kap:jbuset:v:178:y:2022:i:4:d:10.1007_s10551-022-05049-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.