Facial recognition technology has progressed to a point where it now interprets emotions in facial expressions. This type of analysis is increasingly used in daily life. For example, companies can use facial recognition software to help with hiring decisions. Other programs scan the faces in crowds to identify threats to public safety. Unfortunately, this technology struggles to interpret the emotions of black faces. My new study, published last month, shows emotional analysis technology assigns more negative emotions to black men’s faces than white men’s faces. This isn’t the first time that facial recognition programs have been shown to be biased.… This story continues at The Next Web
The U.S. SEC has brought charges in a hacking case against a group international traders who gained insider information into the EDGAR database that listed companies use to file corporate and financial documents. The traders are estimated to have made at least $4.1 million in illegal profits.