What are some examples of race bias in AI?
Race bias in AI can be seen in facial recognition systems that misidentify people of color more often than white individuals.
Can you give me more specific examples?
Sure! For instance, a study found that some AI hiring tools favored resumes with traditionally white-sounding names over those with ethnic names.
What are the consequences of these biases?
The consequences can be severe, leading to discrimination in hiring, law enforcement, and even healthcare, perpetuating systemic inequalities.
How can we mitigate these biases in AI?
Mitigating biases involves diverse training data, regular audits of AI systems, and implementing fairness guidelines during development.
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