Emotion recognition: Can AI detect human feelings from a face?
13 minutes to read
By: Madhumita Murgia
The market for the technology is growing rapidly despite questions from scientists about whether it works. For most of the past year, students at True Light College, a secondary school for girls in Kowloon, Hong Kong, have been attending classes from home. But unlike most children around the world forced into home-schooling during the pandemic, the students at True Light are being watched as they sit at their desks. Unblinking eyes scrutinise each child s facial expressions through their computer s cameras.
The eyes belong to a piece of software called 4 Little Trees, an artificial intelligence program that claims it can read the children s emotions as they learn. The program s goal is to help teachers make distance learning more interactive and personalised, by responding to an individual student s reactions in real time.
New Reports Highlight Globalization of Surveillance Tech Industry
Posted by John Chan | Feb 19, 2021
A new report from The Intercept’s Mara Hvistendahl uncovers how U.S. software giant Oracle worked with Chinese law enforcement to supply analytics software for China’s burgeoning surveillance state. At the same time, other reports have revealed how Chinese manufacturers of surveillance equipment are widely supplying governments and companies in the West. Although the international connections of surveillance tech companies are not new, the new revelations underscore how an industry built around mass surveillance has become increasingly normalized and global, despite deeply concerning questions about their ethical practices.
By gregladen on July 31, 2017.
We do not know if the airing of 13 Reasons Why caused an increase in suicide or not, and that in and of itself is astonishing. In the world of very advanced techniques for collecting and monitoring data, and in a world that we are led to believe is on the edge of the next epidemic, you would think the suicide rate could be estimated on the fly, with minor corrections later. Climate scientists are able to assimilate tens of thousands of data readings taken multiple times a day around the world into estimates of global surface temperatures. There is a daily ongoing estimate that I assume uses only part of the data, and at the end of every month, the data are crunched and the estimate spilled out, and only rarely is there a correction needed.