Title
Bias and Discrimination Risks in skills-based recruitment: An investigation based on interviews with domain experts
Author
Adhikari, A.
Vethman, S.
van Genabeek, J.A.G.M.
Publication year
2023
Abstract
Skills-based recruitment is fostered in the Netherlands by various initiatives1. The skills-based approach aims to create a better fit between those looking for a job (candidates) and those offering a job (employers) by means of focusing on the skills necessary to excel at the job. The assumption is that a focus on skills mitigates discrimination that arises from the traditional recruiting approach using a resume and job posting, both of which are associated with discrimination. This report of the project 'Skllls 'Matching-Work package Labour-market discrimination" In this context the following research questions were investigated: 1. How does the transition from traditional to skills-based recruitment relate to bias and discrimination risks? And subsequently: 2. What is the role of AI in the scenario of skills-based recruitment and the related bias and discriminations risks? This document summarizes our exploration into these questions by means of interviews with several domain experts. The target audience of this document are the direct and contributing stakeholders of the Skills Matching project. Furthermore, this research serves as a preparation for the work package in the 'Vaardig met Vaardigheden' project that deals with bias and discrimination in descriptions of the CompetentNL skills-ontology. The layout of this report is the following: In the next section, we elaborate on the methodology of the interviews. This is followed by Section 3 that consists of the interview findings related to the first research question. Section 4 relates to the findings of the second research question and provides possible research directions. Both Section 3 and 4 provide concluding remarks
To reference this document use:
http://resolver.tudelft.nl/uuid:7abf9e0a-2d96-415a-ad94-f7579d5f8716
TNO identifier
981223
Report number
TNO 2023 R10064
Publisher
TNO, Den Haag
Document type
report