Facts about Artificial Emotional Intelligence
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Emotion AI systems analyze micro-expressions lasting as little as one-twenty-fifth of a second to infer concealed or suppressed emotional states.
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Critics and regulators have raised concerns that artificial emotional intelligence systems can reflect biases tied to gender, ethnicity, and culture in emotion recognition.
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Applications of artificial emotional intelligence include mental health monitoring, customer service analytics, and driver drowsiness detection in automotive systems.
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The field draws on affective computing, a term coined by Rosalind Picard at MIT in her 1997 book of the same name.
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Artificial emotional intelligence uses machine learning to detect and interpret human emotions from facial expressions, voice tone, and physiological signals.