What is fairness in AI ethics?
Fairness in AI ethics refers to the principle that AI systems should treat all individuals and groups equitably, without bias.
How can we ensure AI systems are fair?
We can ensure fairness by using diverse training data, implementing bias detection tools, and regularly auditing AI systems.
What are some examples of bias in AI?
Examples include facial recognition systems misidentifying people of color or hiring algorithms favoring certain demographics.
Why is fairness important in AI?
Fairness is crucial to prevent discrimination, promote trust in AI systems, and ensure equitable outcomes for all users.
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