ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Human-Media Interaction
This article is part of the Research TopicContesting Artificial Intelligence: Communicative Practices, Organizational Structures, and Enabling TechnologiesView all 7 articles
AI-Driven Active Sourcing in Recruitment: Addressing Contestability in Automated Hiring Systems
Provisionally accepted
- 1Reutlingen University, Reutlingen, Germany
- 2University of Tübingen, Tübingen, Germany
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AI-based recruiting is emerging as a critical tool for companies to attract and engage candidates. In this interdisciplinary study, we present a framework for AI-based active sourcing in recruitment to explore opportunities for incorporating considerations of contestability, i.e., the openness of an AI system to human intervention by those affected. The proposed framework is structured around four key modules: Active searching, skills extraction, skills matching, and automated and personalised approach. After introducing the design and functionality of each module, we critically examine the associated opportunities and challenges regarding contestability, including their connection to other ethical aspects like transparency. We conclude with a discussion of pertinent challenges and points of concern, as well as potential practical solutions to enhance contestability and mitigate ethical risks. Our work aims to explore contestability in the context of responsible, ethically acceptable development and application of AI-driven active sourcing systems in human resource management. Future research should empirically assess the integration of contestability aspects in active sourcing approaches in practice.
Keywords: artificial intelligence, Recruiting, active sourcing, Contestability, Transparency, Human Resource Management, Machinelearning
Received: 16 May 2025; Accepted: 03 Nov 2025.
Copyright: © 2025 Hadžić, Brandner, Weber and Rätsch. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Bakir Hadžić, bakir.hadzic@reutlingen-university.de
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