We have uploaded a web lecture introducing you to issues of bias and discrimination in machine learning, with a particular focus on gender. Dr. Mark Cote and dr. Xavier Ferrer explain digital discrimination and gender bias. They also introduce the DADD Language Bias Visualiser, a Word Embeddings-powered tool to explore language biases towards gender in several Reddit datasets and the Google News dataset.
Our research student Héloïse Eloi-Hammer has also made a video explaining interviewing as a method: how to go about interviewing, and how to analyze interviews using software such as NVivo.