AI interviews are often viewed critically. Many discussions focus on trust, bias, or the lack of human interaction.
However, a recent study from ScienceDirect / Elsevier (2025) shows a much more nuanced picture:
👉 AI interviews can be perceived as fairer than human interviews.
The study “Applicant reactions to AI-based interviews” systematically examines how candidates react to AI interviews.
Study design:
Comparison:
👉 Goal: To understand when and why candidates accept AI interviews.
The most important result of the study:
👉 AI-based interviews lead to higher fairness expectations among candidates.
This means candidates are more likely to assume that AI:
👉 A critical point, since fairness is one of the most important drivers of acceptance in recruiting.
The study identifies two key mechanisms:
AI interviews:
👉 Result: less arbitrariness in the process
Compared to human interviews:
👉 Candidates therefore expect a more neutral evaluation.
One particularly interesting insight from the study:
👉 The perception of AI interviews depends on the candidate.
👉 Conclusion: AI interviews are perceived differently—but not fundamentally rejected.
The study highlights an important shift:
👉 AI is not only accepted—
👉 in certain contexts, it is even evaluated more positively than humans
This challenges many traditional assumptions.
These findings align with recent field experiments:
👉 Together, this creates a clear picture:
AI interviews are not only accepted—
they can be actively preferred.
Key takeaways:
👉 The key insight: Not the technology itself—but how it is perceived.
This leads to a clear strategy for AI interviews:
👉 Successful AI interviews must:
Because these factors drive acceptance.
👉 AI interviews are not the problem—
👉 they are an opportunity to make recruiting more fair.