The science of using AI to detect and predict emotions is shaky, but the U.S. military and a handful of well-funded startups are hoping to prove the doubters wrong, whatever the risks
Affectiva CEO Rana el Kaliouby is one of the leading figures in the burgeoning emotion detectionbusiness. The company is applying its tech to road safety, not for any surveillance use cases. Celuszak’s Element Human only officially launched last September but more established players have already scored hundreds of millions in venture capital funding. MIT Media Lab spin-out startup Affectiva has $80 million backing so far for its face and voice analysis tech.
“There is no sound scientific consensus that the ability to automate the prediction of emotions based on people's physical features, mannerisms, voice, or whatever, is even possible,” she tells. “The idea that someone's interior characteristics and feelings are mapped in some regular and universal way to people's physicality or actions has not been proven, to say the least, and the claims being made by these systems have not been validated.
He’s already counting out some customers over ethical concerns: gambling companies who want to know how best to play on the emotions of betters and politicians looking to do much the same with voters. In one case, a gambling company offered Element Human a contract that could’ve made or broken his startup, Celuszak says. They wanted to see if Element Human could read the emotions of a particular group of people and then inform which way the odds would swing.
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