What tools does AI use to ensure fairness?
AI uses various tools like bias detection algorithms, fairness metrics, and diverse training datasets to ensure fairness.
Can you explain how bias detection algorithms work?
Bias detection algorithms analyze data and model outputs to identify and quantify biases, helping to mitigate them.
What are some examples of fairness metrics?
Examples include demographic parity, equal opportunity, and disparate impact, which measure fairness across different groups.
How can diverse training datasets improve AI fairness?
Diverse training datasets help ensure that AI models learn from a wide range of perspectives, reducing bias in outcomes.
Are there any tools for auditing AI fairness?
Yes, tools like Fairness Indicators and AI Fairness 360 can help audit and assess the fairness of AI models.
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