EMOTION AI TRACKING SPREADS TO WHITE-COLLAR JOBS

Emotion AI systems use algorithms to analyze facial expressions and vocal patterns to gauge employee sentiment in real time. The technology is marketed to employers as a way to measure engagement, monitor customer interactions, and assess job performance. However, experts flag substantial risks. Facial recognition systems demonstrate persistent bias issues across demographic groups, potentially penalizing workers unfairly. The technology also lacks scientific consensus on its reliability—emotion detection from faces remains contested in psychology research. Privacy concerns are equally pressing. Workers may have limited awareness they're being monitored, and the data collected could be used for purposes beyond stated aims. The power imbalance between employers and employees raises questions about genuine consent. The trend reflects broader workplace surveillance expansion. As remote and hybrid work increase, employers are seeking new monitoring methods. Yet the deployment of emotion AI outpaces regulatory frameworks governing its use, leaving workers with limited legal protections against invasive tracking.