How can we measure bias in AI systems?
An example of an AI chatbot conversation about measuring bias in AI systems.
How can we measure bias in AI systems?
Measuring bias in AI systems involves various techniques, such as statistical analysis, fairness metrics, and audits.
What are some common fairness metrics used?
Common fairness metrics include demographic parity, equal opportunity, and disparate impact.
Can you explain demographic parity?
Demographic parity ensures that the decision outcomes are independent of sensitive attributes like race or gender.
How do we conduct an audit for bias?
A bias audit typically involves collecting data, analyzing model predictions, and comparing outcomes across different groups.
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