IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/cpxmf_v1.html
   My bibliography  Save this paper

How to Choose a Fairness Measure: A Decision-Making Workflow for Auditors

Author

Listed:
  • Picogna, Federica

    (Nyenrode Business University)

  • de swart, jacques
  • Kaya, Heysem

    (Utrecht University)

  • wetzels, ruud

Abstract

Recent developments in Artificial Intelligence (AI) have greatly benefited society, but they also come with risks. One of those risks is that AI has the potential to discriminate against certain groups of people. To address that risk, benchmark regulations such as the AI Act have been cre- ated, requiring AI systems to be fair and tasking auditors with ensuring their compliance. In order to do so, auditors use fairness measures. However, selecting a specific definition of fairness from the various available options and choosing a fairness measure from the numerous possibilities com- plicates the auditing process, making it challenging for auditors to correctly assess AI fairness. To assist them, we created a decision-making workflow that guides the auditor through the selection process of the most appropriate measure and, consequently, the most suitable definition of fairness. To simplify the use of this workflow, we have integrated it into the open-source program JASP for Audit and demonstrated its functionality with two examples: the COMPAS recidivism and the DUO case.

Suggested Citation

  • Picogna, Federica & de swart, jacques & Kaya, Heysem & wetzels, ruud, 2025. "How to Choose a Fairness Measure: A Decision-Making Workflow for Auditors," OSF Preprints cpxmf_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:cpxmf_v1
    DOI: 10.31219/osf.io/cpxmf_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/67bc5a64299a7f5a6d70a5c8/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/cpxmf_v1?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:osf:osfxxx:cpxmf_v1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.