How can we ensure AI fairness in our algorithms?
Ensuring AI fairness involves using diverse training data, regular audits, and bias detection techniques.
What are some common biases found in AI systems?
Common biases include gender bias, racial bias, and socioeconomic bias, often stemming from unrepresentative data.
How can we test for bias in AI models?
You can test for bias by analyzing model predictions across different demographic groups and using fairness metrics.
Are there any frameworks for ensuring AI fairness?
Yes, frameworks like Fairness Indicators and AI Fairness 360 provide tools to assess and mitigate bias in AI.
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