What are the key principles for creating fair AI?
The key principles include transparency, accountability, inclusivity, and bias mitigation.
How can we ensure that AI systems are unbiased?
To ensure AI systems are unbiased, we can use diverse training data, conduct regular audits, and involve diverse teams in development.
What role does data play in fairness?
Data is crucial; biased data leads to biased outcomes. It's important to curate and preprocess data carefully.
Can you give examples of biased AI systems?
Sure! Examples include facial recognition systems that misidentify people of color and hiring algorithms that favor certain demographics.
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