What are some techniques for ensuring fair AI?
There are several techniques to ensure fair AI, including bias detection, diverse training data, and fairness constraints.
Can you explain bias detection?
Bias detection involves identifying and measuring biases in AI models, often using statistical methods to analyze outcomes.
What role does diverse training data play?
Diverse training data helps to represent various demographics, reducing the risk of bias and improving the model's fairness.
Are there any fairness constraints I should consider?
Yes, fairness constraints can include equal opportunity, demographic parity, and equalized odds, depending on the application.
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