IDEAS home Printed from https://ideas.repec.org/a/rom/mancon/v13y2019i1p1068-1073.html
   My bibliography  Save this article

Algorithmic Bias In Current Hiring Practices: An Ethical Examination

Author

Listed:
  • Drago? BÃŽGU
  • Mihail-Valentin CERNEA

Abstract

This paper will explore the ethical consequences of using machine learning algorithms in hiring decisions, focusing on the risk of discriminating groups of people based on unjust criteria. The first section of the paper is concerned with describing the automated processes involved in current hiring practices and three sources of possible unjust discrimination: (i) the defined outputs of the algorithms involved; (ii) the way in which the predicted work performance is understood by managers; (iii) statistical correlations could be biased against certain groups of people, precluding the evaluation of individuals based on their own work performance. The second section of the paper offers a comparison between traditional cases of discrimination and this new kind of algorithmic discrimination and three solutions for mitigating the risk of discrimination in automated hiring practices, i.e., transparency, careful testing for biases that could have ingrained themselves in the software used in the hiring process, and by ensuring that the final decision is made by a human and not a machine.

Suggested Citation

  • 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.
    • Handle: RePEc:rom:mancon:v:13:y:2019:i:1:p:1068-1073
    as

    Download full text from publisher

    File URL: https://conference.management.ase.ro/archives/2019/pdf/5_8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jenifer Winter, 2015. "Algorithmic Discrimination: Big Data Analytics and the Future of the Internet," Public Administration and Information Technology, in: Jenifer Winter & Ryota Ono (ed.), The Future Internet, edition 1, chapter 0, pages 125-140, Springer.
    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. 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.

    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. Ghosh, Dipayan, 2021. "The commercialization of bias in cashless India," Telecommunications Policy, Elsevier, vol. 45(5).
    2. Edward Simpson & David Bradley & John Palfreyman & Roger White, 2022. "Sustainable Society: Wellbeing and Technology—3 Case Studies in Decision Making," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    3. Matthew Tenney & Renee Sieber, 2016. "Data-Driven Participation: Algorithms, Cities, Citizens, and Corporate Control," Urban Planning, Cogitatio Press, vol. 1(2), pages 101-113.
    4. Ingrid Poncin & Wafa Hammedi & Caroline Lancelot-Miltgen, 2022. "Technologies, expériences, services et au-delà ! Plaidoyer pour développer la recherche sur les technologies, les expériences et les services," Post-Print hal-03818050, HAL.

    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:rom:mancon:v:13:y:2019:i:1:p:1068-1073. 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: Ciocoiu Nadia Carmen (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    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.