When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Most faculty members have a go-to activity that can be deployed at a moment’s notice in the classroom. It might be a quick, five-minute writing task or a more-ambitious, small-group exercise. When ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...