Emma Beauxis-Aussalet is a senior track associate at the Digital Society School of Amsterdam University of Applied Science, where she leads projects that apply artificial intelligence (AI) for sustainable development and positive social impacts. Her prior research at CWI has developed statistics and visualizations that make bias and error explicit and understandable for the general public, and that contribute to making AI more fair, transparent and accountable. She holds a PhD from Utrecht University, Masters in Computer Science and Communication, and has worked as an R&D engineer and a designer.

https://observablehq.com/@emma-ba/introduction-to-classification-bias

Github (if applicable): https://github.com/emma-ba/Classification_Error_Toolkit