HireVue Facial Analysis for Interviews

What Happened

The recruitment software company HireVue developed and deployed an AI-driven video interviewing platform used by major global corporations. The system used computer vision and facial analysis algorithms to analyze candidates' facial expressions, eye movements, and tone of voice during video interviews, outputting "employability scores" that ranked candidates. Civil rights and privacy groups filed complaints with the US FTC, arguing the facial analysis was pseudoscientific, lacked independent validation, and systematically discriminated against candidates with facial differences, speech impediments, or from diverse cultural backgrounds. Under pressure, HireVue removed the facial analysis component from its platform in 2021, relying solely on natural language processing.

How MEG 1 would have acted

The facial analysis algorithm failed the Dynamic Accuracy Index (DAI) and Index of Safety and Responsibility (ISR) audits due to its lack of scientific validity and high risk of systemic discrimination, violating the principles of informational dignity and non-discrimination.

MEG 2 Analysis - Legal Framework

Agent level: N2 (management) - automated screening and scoring system used by commercial organizations to make critical employment and career access decisions.
Cause (6.1):
(a) system defect - pseudoscientific design and systemic demographic bias built into the facial expression analysis model (design defect), attributable to the manufacturer.
(b) autonomous decision error - the system's decision to assign lower employability scores based on arbitrary biometric proxies.
Attachment of liability: The employers as the operators are liable for deploying a discriminatory, unvalidated screening tool; the manufacturer (HireVue) is liable for the design defect (6.1a).

Procedural Mechanism

6.2 (architectural human confirmation): Candidate screening and rejection decisions must require architectural human confirmation. The AI must be technically blocked from autonomously rejecting candidates; a human recruiter must review the video and the justification before confirming any rejection.
7.1 (independent forensics): The biometric parameters analyzed, the scoring weights, and the system's decision path must be securely logged in an independent ledger for labor and civil rights audits.
9.4 (least privilege): The biometric system was granted significant influence over career access without independent scientific validation, violating safe operational parameters.