
Evaluation and compliance testing for phone screening AI, voice analysis, and speech-based candidate assessment.
As of February 2025, the EU AI Act prohibits AI emotion recognition in workplace contexts, including recruitment. Voice AI systems that analyze emotional states, sentiment, or personality from voice are likely non-compliant.
Voice AI promises to revolutionize phone screening—conducting initial interviews at scale, assessing communication skills, and identifying promising candidates. But these systems carry hidden risks that can create serious legal exposure.
Beyond the now-prohibited emotion recognition, voice AI systems often discriminate against non-native speakers, candidates with accents, and those with speech differences. These biases can systematically exclude qualified candidates and expose your organization to discrimination claims.
We test voice AI systems to identify compliance issues and hidden biases before they become problems.

Common failure modes we test for in voice-based recruitment AI
Voice AI often performs poorly on non-native speakers, regional accents, and non-standard speech patterns.
EU AI Act prohibits emotion recognition in workplace contexts—many voice screening tools violate this.
Candidates with stutters, dysfluencies, or neurodivergent speech patterns may be unfairly penalized.
Candidates in less affluent environments may score lower due to background noise interference.
Speech-to-text models may misinterpret cultural expressions or domain-specific terminology.
The same response may receive different scores depending on voice characteristics unrelated to content.
A systematic approach to evaluating voice AI fairness and compliance
Verify whether your voice AI uses prohibited emotion recognition features.
Test performance across diverse accents, speech patterns, and environmental conditions.
Statistical analysis of scoring patterns across protected characteristics.
Compare AI assessments against human expert evaluations.
Clear assessment of EU AI Act compliance status, including emotion recognition checks.
Statistical evidence of any discriminatory patterns in voice AI scoring.
Actionable steps to address identified compliance gaps and fairness issues.
Find out before regulators do. Request a compliance assessment today.
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