In a study conducted by Dr. Veysi Tanrıverdi, a faculty member in our department, the stereotypical tendencies of human decision-makers and AI-based simulations in recruitment processes were compared. The research analyzed hiring decisions across various sectors—including health, education, tourism, security, and service—by examining both human interviewers and AI simulations designed to mimic their decision-making patterns.

The study delved into how biases, particularly those related to gender and gender expression, influence both human and algorithmic decisions. Findings revealed that AI systems can replicate implicit human biases and that the algorithms used are at risk of reflecting the societal biases embedded in the data on which they are trained.

This original research was presented to the international academic community at the 18th Equality, Diversity and Inclusion International Conference, held in Athens, Greece, from July 7–9, 2025. The presentation sparked significant interest by highlighting pressing issues surrounding digital equity in recruitment processes.

“Expecting absolute neutrality from artificial intelligence is to overlook the human systems behind it,” said Dr. Tanrıverdi, emphasizing the need to develop AI-supported recruitment practices grounded in transparency, ethics, and accountability.

The full manuscript is currently being prepared for submission to a peer-reviewed international journal and contributes to our faculty’s mission of supporting innovative, socially impactful research.