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How can I use fairness indicators to compare model versions?

Asked on Nov 16, 2025

Answer

To compare model versions using fairness indicators, you can employ fairness dashboards or tools that provide metrics like disparate impact, equal opportunity, or demographic parity. These tools help identify and quantify biases across different model iterations, allowing you to make informed decisions about model improvements.

Open a fairness dashboard or tool that supports model comparison (e.g., Fairness Indicators, Aequitas).
Select the models you wish to compare and choose relevant fairness metrics (e.g., demographic parity, equalized odds).
Review the results to identify any disparities or improvements in fairness between model versions.

Additional Comment:

Ensure that the data used for comparison is consistent across model versions to avoid skewed results.
Consider the context and application of the model to select appropriate fairness metrics.
Document findings and any decisions made based on the fairness analysis for accountability.

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Ask any question about AI Ethics here... and get an instant response.

How can I use fairness indicators to compare model versions?

Asked on Nov 16, 2025

Answer

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