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Tech companies assert that AI can accurately recognize human emotions, claiming it can identify feelings like happiness or anger. However, scientific evidence contradicts these claims, highlighting the unreliability of such technologies. The European Union has even banned the use of emotion recognition AI in workplaces, citing legal and societal risks.
The market for AI emotion recognition is rapidly expanding, projected to grow from $34 billion in 2022 to $62 billion by 2027. Despite claims of objectivity, these technologies often rely on flawed assumptions about emotional expression, leading to potential biases and privacy violations. A survey indicates that a significant majority of Australians view these technologies as invasive and prone to error.
• AI emotion recognition technology faces significant scientific and ethical challenges.
• The EU has banned workplace use of AI systems for emotion inference.
Emotion recognition refers to AI's ability to identify human emotions through various data inputs.
Biometric data includes physiological metrics like heart rate and skin moisture used to infer emotions.
Bias in AI occurs when algorithms produce unfair outcomes based on flawed training data.
inTruth Technologies is developing a wrist-worn device to track emotions using physiological metrics.
HireVue previously offered a video interviewing system that analyzed facial expressions for job suitability.
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