Verinika
AI Safety Testing

Video Interview Analysis Testing

Fairness auditing for AI-powered video interviews, facial analysis, and automated candidate assessment.

The Challenge

AI-powered video interviews promise to assess candidates objectively, analyzing everything from facial expressions to word choice. But research consistently shows these systems discriminate against candidates based on race, disability, and cultural background.

Facial recognition technology performs significantly worse on darker skin tones. Expression analysis penalizes neurodivergent candidates. Even background and lighting can affect scores, disadvantaging candidates without professional home office setups.

We test video interview AI to expose these biases and help you build fairer assessment processes.

Video Interview Testing

What Can Go Wrong

Common bias patterns we test for in video interview AI systems

Facial Analysis Bias

AI facial analysis performs worse on darker skin tones and non-Western facial features.

Disability Discrimination

Candidates with visible disabilities, facial differences, or atypical expressions may be unfairly scored.

Lighting & Equipment Bias

Candidates without professional lighting or cameras may receive lower scores regardless of competence.

Cultural Expression Bias

Eye contact, facial expressions, and gestures vary by culture—AI may penalize non-Western norms.

Neurodivergent Exclusion

Autistic candidates and others with different communication styles may be systematically filtered out.

Voice-Visual Mismatch

Combined scoring of voice and video can compound biases from both modalities.

Our Testing Methodology

A comprehensive approach to testing video interview AI for fairness

1

Feature Mapping

Identify what visual features the AI actually analyzes and weights.

2

Demographic Testing

Test scoring across diverse skin tones, ages, and physical characteristics.

3

Environmental Variation

Assess how lighting, backgrounds, and equipment affect scores.

4

Correlation Analysis

Statistical analysis of score correlations with protected characteristics.

What You Get

Fairness Report

Detailed analysis of scoring patterns across demographic groups.

Feature Analysis

Understanding of which visual features most influence AI decisions.

Best Practices Guide

Recommendations for fairer video interview processes.

Are Your Video Interviews Fair?

Discover hidden biases in your video assessment process.

Request Assessment