How can we measure systemic bias in AI systems?
Measuring systemic bias involves analyzing data sets, algorithms, and outcomes to identify disparities.
What specific metrics can be used to assess bias?
Common metrics include demographic parity, equal opportunity, and disparate impact assessments.
Can you give an example of a tool used for this measurement?
One popular tool is Fairness Indicators, which helps evaluate model performance across different demographic groups.
What are the challenges in measuring systemic bias?
Challenges include data quality, defining fairness, and the complexity of social contexts.
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