Mind Matters Natural and Artificial Intelligence News and Analysis

TagHuman emotions

collage of young emotions.jpg
Collage of portraits of young emotional people on multicolored background in neon. Concept of human emotions, facial expression, sales. Listening to music, delighted, winner, shocked. Flyer for ad

AI Prof Sounds Alarm: AI “Emotion Detectors” Are Faulty Science

An industry worth over $30 billion uses emotion recognition technology (ERT) on school children and potential hires

Kate Crawford, a principal researcher at Microsoft, and author of Atlas of AI (2021), is warning at Nature that the COVID-19 pandemic “is being used as a pretext to push unproven artificial-intelligence tools into workplaces and schools.” The software is touted as able to read the “six basic emotions” via analysis of facial expressions: During the pandemic, technology companies have been pitching their emotion-recognition software for monitoring workers and even children remotely. Take, for example, a system named 4 Little Trees. Developed in Hong Kong, the program claims to assess children’s emotions while they do classwork. It maps facial features to assign each pupil’s emotional state into a category such as happiness, sadness, anger, disgust, surprise and fear. It also Read More ›

set-of-funny-colored-stickers-with-different-emotions-stockpack-adobe-stock.jpg
set of funny colored stickers with different emotions

Study: The Expression of Human Emotions Is Universal

Most representations in visual arts depend on the universality of human emotion

Most of us wouldn’t be surprised to learn that the expression of human emotions is universal. But today there is a study for everything and 16 “universal human emotional expressions” have been identified: Whether at a birthday party in Brazil, a funeral in Kenya or protests in Hong Kong, humans all use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls, a new study from the University of California, Berkeley, shows… Researchers at UC Berkeley and Google used machine-learning technology known as a “deep neural network” to analyze facial expressions in some 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, Read More ›