Challenging marketers to break through data bias.

Think with Google
Machine Learning Fairness
2020
As part of an effort to understand some of the key DE&I issues around tech, Google uncovered some important findings around the algorithmic bias in data, and specifically its effects on marketing. They needed a way to clearly introduce marketers to this problem and engage them in a way that would resonate.

An interactive editorial website exploring the human impact of algorithmic bias. This innovative experience utilized real-time WebGL-generated ASCII art paired with hand-cut collages, creating a unique visual representation of how algorithms 'see' us through data. This juxtaposition of raw data and human stories highlighted the emotional impact of bias in machine learning datasets on real individuals.