Training AI on stereotypical facial expressions is bound to mislead because scientific evidence indicates that there are no universal expressions of emotion
Training algorithms on stereotypical facial expressions is bound to mislead. — Imagine that you are interviewing for a job. X: @carnage4life , @naimulkhan , and @lfeldmanbarrett LinkedIn: Dr. Jeffrey Funk , Rafael Brown , and Charles L Mauro X: Dare Obasanjo / @carnage4life : Every AI system that claims to either read people's emotions or other characteristics like their political affiliations from facial expressions is a scam. There's no underlying science here so there's no underlying “good data” to have trained an AI on to predict these qualities [image] Naimul Khan / @naimulkhan : Forget about face, my lab has been at it for 6+ years and we can't get past 72% even with physiological signals (ECG/EEG). Emotion recognition research has a long way to go, and should NOT be released in the wild like this irresponsibly. https://www.wsj.com/... Lisa Feldman Barrett / @lfeldmanbarrett : If you're interested to view the generative AI output I mention in my @WSJ op-ed, visit http://www.how-emotions-are-made.com/ .... LinkedIn: Dr. Jeffrey Funk : Despite OpenAI's claims, “The best available scientific evidence indicates that there are no universal expressions of emotion.” … Rafael Brown : Microsoft walked away from emotion detection and facial recognition as did IBM and Amazon. Here is a reading list: … Charles L Mauro : Dr. Jeffrey Funk My research team utilizes Micro Facial Expression Analysis research tools that do this exact set of functions. …