Artificial Intelligence is Misreading Human Emotion

Artificial Intelligence is Misreading Human Emotion


Publication Title
The Atlantic
Publication/Creation Date
April 27 2021
Creators/Contributors
Kate Crawford (creator)
Paul Ekman (contributor)
Lisa Feldman Barrett (contributor)
Silvan Tomkins (contributor)
Guillaume-Benjamin-Amand Duchenne (contributor)
Defense Advanced Research Projects Agency DARPA (contributor)
Persuasive Intent
Information
Description
"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. So why has the idea that there is a small set of universal emotions, readily interpreted from a person’s face, become so accepted in the AI field?"
HCI Platform
Ambient
Relation to Body
Around
Related Body Part
Face
Source
https://www.theatlantic.com/technology/archive/2021/04/artificial-intelligence-misreading-human-emotion/618696/

Date archived
October 22 2021
Last edited
October 22 2021
How to cite this entry
Kate Crawford. (April 27 2021). "Artificial Intelligence is Misreading Human Emotion". The Atlantic. The Atlantic Monthly Group. Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/5496