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Visualizing Bias in Machine Learning Models

by Michael McLaughlin
What-If Tool

Google has published a new tool called the What-If Tool that allows users to visualize possible bias in machine learning models without knowing how to code. With the What-If Tool, users can manually edit their data and a model’s parameters to visualize how changing them would affect the model’s prediction. This allows users to identify when a model’s data or parameters introduces bias into the model, which can have undesirable effects such as unfairly discriminating against certain populations.

Take a look.

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