AI saving humans from the emotional toll of monitoring hate speech
A team of researchers at the University of Waterloo have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work. The method, dubbed the Multi-Modal Discussion Transformer (mDT), can understand the relationship between text and images as … Read more
