How can I audit AI systems for fairness?
Auditing AI systems for fairness involves evaluating algorithms and data for bias. Would you like to know specific steps?
Yes, what are the key steps in the auditing process?
Key steps include defining fairness criteria, collecting data, analyzing outcomes, and implementing corrective measures.
What tools can I use for this auditing process?
You can use tools like Fairness Indicators, AIF360, and What-If Tool to assist in your auditing process.
Are there any best practices I should follow?
Yes, best practices include involving diverse stakeholders, continuously monitoring systems, and being transparent about findings.
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