Frenologia 2.0 e soluzionismo da intelligenza artificiale.
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Source : The atlantic
Artificial Intelligence Is Misreading Human Emotion
There is no good evidence that facial expressions reveal a person’s feelings. But big tech companies want you to believe otherwise.
Today affect-recognition tools can be found in national-security systems and at airports, in education and hiring start-ups, in software that purports to detect psychiatric illness and policing programs that claim to predict violence. The claim that a person’s interior state can be accurately assessed by analyzing that person’s face is premised on shaky evidence.
A 2019 systematic review of the scientific literature on inferring emotions from facial movements, led by the psychologist and neuroscientist Lisa Feldman Barrett, found there is no reliable evidence that you can accurately predict someone’s emotional state in this manner. “It is not possible to confidently infer happiness from a smile, anger from a scowl, or sadness from a frown, as much of current technology tries to do when applying what are mistakenly believed to be the scientific facts,” the study concludes.
Affectiva has coded a variety of emotion-related applications, primarily using deep-learning techniques. These approaches include detecting distracted and “risky” drivers on roads and measuring consumers’ emotional responses to advertising. The company has built what it calls the world’s largest emotion database, made up of more than 10 million people’s expressions from 87 countries. Its monumental collection of videos was hand-labeled by crowdworkers based primarily in Cairo.
Outside the start-up sector, AI giants such as Amazon, Microsoft, and IBM have all designed systems for emotion detection. Microsoft offers perceived emotion detection in its Face API, identifying “anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise,” while Amazon’s Rekognition tool similarly proclaims that it can identify what it characterizes as “all seven emotions” and “measure how these things change over time, such as constructing a timeline of the emotions of an actor.”