AI Now refers to the technology by its formal name, affect recognition, in its annual report. It says the sector is undergoing a period of significant growth and could already be worth as much as $20 billion. "It claims to read, if you will, our inner-emotional states by interpreting the micro-expressions on our face, the tone of our voice or even the way that we walk," explained co-founder Prof Kate Crawford. "It's being used everywhere, from how do you hire the perfect employee through to assessing patient pain, through to tracking which students seem to be paying attention in class. "At the same time as these technologies are being rolled out, large numbers of studies are showing that there is... no substantial evidence that people have this consistent relationship between the emotion that you are feeling and the way that your face looks." "Prof Crawford suggested that part of the problem was that some firms were basing their software on the work of Paul Ekman, a psychologist who proposed in the 1960s that there were only six basic emotions expressed via facial emotions," reports the BBC. "But, she added, subsequent studies had demonstrated there was far greater variability, both in terms of the number of emotional states and the way that people expressed them."
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