Exploring Gender Bias in Word Embeddings: Towards an intuitive technical understanding of bias in machine learning systems
In this 90 minutes workshop, we will explore bias in word embeddings - a widespread building block of many machine learning models that work with human languages. Word embeddings have an easy-to-explain representation that allows an intuitive understanding of this building block and its potential biases. They will serve as a case-study to the general issue of bias in machine learning.
Through the exploration, we will raise practical, methodological and philosophical questions about the ethics of AI. The workshop is designed to be adaptive to a diverse audience: from without any background in machine learning or programming to data science practitioners - no technical background is required! The workshop is hands-on and interactive, and will use the same tools that data scientists are using.