AI Interviews Are Perceived as Fairer – New Study with 760 Applicants

AI interviews are often viewed critically. Many discussions focus on trust, bias, or the lack of human interaction.
Yannis Niebelschuetz
April 17, 2026

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: 3 Experiments, 760 Participants

The study “Applicant reactions to AI-based interviews” systematically examines how candidates react to AI interviews.

👉 Link to the study

Study design:

  • 3 controlled experiments
  • total sample: 760 participants

Comparison:

  • AI-based interviews
  • human interviews

👉 Goal: To understand when and why candidates accept AI interviews.

Key Finding: AI Interviews Increase Perceived Fairness

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:

  • evaluates more objectively
  • is more consistent
  • is less influenced by personal biases

👉 A critical point, since fairness is one of the most important drivers of acceptance in recruiting.

Why AI Interviews Are Seen as Fairer

The study identifies two key mechanisms:

1. Standardization

AI interviews:

  • ask the same questions
  • follow clear structures

👉 Result: less arbitrariness in the process

2. Reduced Subjectivity

Compared to human interviews:

  • less influence of personal sympathy
  • fewer spontaneous biases

👉 Candidates therefore expect a more neutral evaluation.

But: Acceptance Is Not the Same for Everyone

One particularly interesting insight from the study:

👉 The perception of AI interviews depends on the candidate.

  • Candidates with strong cognitive abilities:
    → view AI interviews especially positively
    → expect high fairness
  • Candidates with strong social / interpersonal skills:
    → are more concerned that their individuality may be lost

👉 Conclusion: AI interviews are perceived differently—but not fundamentally rejected.

What This Means for AI Interviews

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.

Connection to Other Recent Studies

These findings align with recent field experiments:

  • In a large study with ~70,000 candidates:
    → 78% voluntarily chose AI interviews
  • Candidates rate:
    → AI and human interviews similarly in quality

👉 Together, this creates a clear picture:

AI interviews are not only accepted—
they can be actively preferred.

Conclusion: Fairness Is the Key to Acceptance

Key takeaways:

  • AI interviews create higher expectations of fairness
  • Candidates perceive AI as more objective and consistent
  • Acceptance strongly depends on individual profiles

👉 The key insight: Not the technology itself—but how it is perceived.

What This Means in Practice

This leads to a clear strategy for AI interviews:

👉 Successful AI interviews must:

  • feel fair
  • be transparent
  • follow structured processes

Because these factors drive acceptance.

TL;DR

  • Study with 760 participants (3 experiments)
  • AI interviews are perceived as fairer
  • Fairness is the most important driver of acceptance

👉 AI interviews are not the problem—
👉 they are an opportunity to make recruiting more fair.