Many researchers fear the consequences of training computers to identify a person’s sexual orientation and criminality based solely on physical appearance.
On the first day of school, a child looks into a digital camera linked to the school’s computer. Upon a quick scan, the machine reports that the child’s facial contours indicate a likelihood toward aggression, and she is tagged for extra supervision. Not far away, another artificial-intelligence screening system scans a man’s face. It deduces from his brow shape that he is likely to be introverted, and he is rejected for a sales job. Plastic surgeons, meanwhile, find themselves overwhelmed with requests for a “perfect” face that doesn’t show any “bad” traits.
This dystopian nightmare might not be that far-fetched, some academics warn, given the rise of big data, advances in machine learning, and—most worryingly—the current rise in studies that bear a troubling resemblance to the long-abandoned pseudoscience of physiognomy, which held that the shape of the human head and face revealed character traits. Modern computers are much better at scanning minute details in human physiology, modern advocates of such research say, and thus the inferences they draw are more reliable. Critics, on the other hand, dismiss this as bunkum. There is little evidence linking outward physical characteristics and anything like predictable behavior, they note. And in any case, machines only learn what we teach them, and humans—rife with biases and prejudicial thinking, from the overt to the subtle and unacknowledged—are terrible teachers.
Still, the research continues.
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