Book Chapter


Recruitment AI has a disability problem: anticipating and mitigating unfair automated hiring decisions

Abstract

Artificial Intelligence (AI) technologies have the potential to dramatically impact the lives and life chances of people with disabilities seeking employment and throughout their career progression. While these systems are marketed as highly capable and objective tools for decision making, a growing body of research demonstrates a record of inaccurate results as well as inherent disadvantages for historically marginalised groups. Assessments of fairness in Recruitment AI for people with disabilities have thus far received little attention or have been overlooked. This paper examines the impacts to and concerns of disabled employment seekers using AI systems for recruitment, and discusses recommendations for the steps employers can take to ensure innovation in recruitment is also fair to all users. In doing so, we further the point that making systems fairer for disabled employment seekers ensures systems are fairer for all.



The fulltext files of this resource are currently embargoed.
Embargo end: 2024-09-07

Attached files

Authors

Nugent, Selin E.
Scott-Parker, Susan

Oxford Brookes departments

Faculty of Technology, Design and Environment

Dates

Year of publication: 2022
Date of RADAR deposit: 2023-01-31



“Copyright © 2022, Springer Nature. Users may view, print, copy, download and text and data-mine the content, for the purposes of non-commercial academic research, subject always to the full conditions of use. See: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.”


Related resources

This RADAR resource is the Accepted Manuscript of Recruitment AI Has a Disability Problem: Anticipating and Mitigating Unfair Automated Hiring Decisions
This RADAR resource is Part of Towards trustworthy artificial intelligent systems [ISBN: 9783031098222] / edited by Maria Isabel Aldinhas Ferreira, Mohammad Osman Tokhi (Springer, 2022).

Details

  • Owner: Joseph Ripp
  • Collection: Outputs
  • Version: 1 (show all)
  • Status: Live
  • Views (since Sept 2022): 356