About This Session
It is well known that machine learning systems introduce and or/reproduce various types of biases associated with race, gender, ability, language and many other such human differences. This fireside chat style conversation with computer scientist and data journalist Meredith Broussard features tips and tools for identifying how and why biases get introduced in everything from large language models to various kinds of machine learning applications, and guidance for how to address and/or prevent common biases reflected in common or novel applications used by branding and marketing professionals.
