Shifting Paradigms: Value Sensitive Design for Fair AI Recruitment

In this position paper, we advocate for the use of value sensitive design (VSD) as a framework for
developing fair AI recruitment tools. As a starting point, we assert that the current paradigm in AI fairness
in the hiring context is severely limiting. We then document an ongoing process within the EU-horizon
project BIAS, seeking to escape this paradigm by applying VSD to the development of AI applications
for candidate selection with diversity and fairness as focal points. In particular, we present case-based
reasoning as a case study in the intentional operationalization of stakeholder positions on fairness and
detail how such an approach can be further expanded, drawing from the concept of agonistic machine
learning. In this endeavor, we hope to contribute to the discourse on the ethical design and use of AI
within the labor market and in general.