What is fairness in machine learning?
An example of an AI chatbot conversation about fairness in machine learning ethics.
What is fairness in machine learning?
Fairness in machine learning refers to the principle of ensuring that algorithms make decisions without bias against any group.
Why is fairness important in AI?
Fairness is crucial in AI to prevent discrimination and ensure equitable treatment across different demographics.
How can we measure fairness in AI models?
Fairness can be measured using metrics like demographic parity, equal opportunity, and disparate impact.
What are some common biases in machine learning?
Common biases include gender bias, racial bias, and socioeconomic bias, often stemming from biased training data.
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