How can I assess bias in AI systems?
To assess bias in AI systems, you can start by analyzing the training data for representation and fairness.
What specific metrics should I use to measure bias?
Common metrics include demographic parity, equal opportunity, and disparate impact. Each measures different aspects of fairness.
Can you give an example of how to apply these metrics?
Sure! For instance, if you're evaluating a hiring algorithm, you can compare the selection rates of different demographic groups.
What tools can help me in this assessment?
There are several tools like Fairness Indicators, AI Fairness 360, and What-If Tool that can assist in assessing bias.
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