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Facial Expression Analysis

Also known as: Automated Facial Expression Analysis, Facial Coding, AFEA

The automated classification of a person's facial movements into discrete emotion categories (happy, angry, neutral, surprised, etc.) using computer vision. In hiring, facial expression analysis is embedded in AI-scored video interviews. It has been shown to systematically misread people with facial paralysis, facial differences, Bell's palsy, Parkinson's disease, autism, and cultural variations in expression, routinely labelling their responses as "disgust" or "angry." Many disability and AI-ethics researchers argue this technology is fundamentally unsuitable for hiring decisions.

Category: AI fairness · Emotion Recognition · Computer Vision · AI ethics

Related: AI Hiring Interview · Automated Employment Decision System · Algorithmic bias

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