What are some real-world examples of AI bias?
AI bias can manifest in various ways. For instance, facial recognition systems have shown higher error rates for people of color compared to white individuals.
Can you give me another example?
Sure! In hiring algorithms, some AI systems have been found to favor male candidates over female candidates, reflecting existing biases in the data.
What are the consequences of these biases?
The consequences can be severe, leading to discrimination in hiring, law enforcement, and even healthcare, which can perpetuate inequality.
How can we mitigate AI bias?
Mitigating AI bias involves using diverse training data, regular audits of AI systems, and implementing fairness guidelines during development.
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