What are some effective techniques for reducing AI bias?
There are several techniques to reduce AI bias, including data diversification, algorithmic fairness, and regular audits.
Can you explain how data diversification helps?
Data diversification involves using a wide range of data sources to ensure that the AI model learns from varied perspectives, reducing bias.
What role do algorithmic audits play in this process?
Algorithmic audits help identify and mitigate biases in AI systems by evaluating their performance across different demographic groups.
Are there any tools available for conducting these audits?
Yes, there are several tools like Fairness Flow, AI Fairness 360, and What-If Tool that can assist in conducting algorithmic audits.
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