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.
Can you give me another example?
Sure! In hiring algorithms, some AI systems have been found to favor male candidates over equally qualified female candidates.
What are the consequences of these biases?
The consequences can be severe, leading to discrimination, unfair treatment, and a lack of diversity in workplaces.
How can we mitigate AI bias?
Mitigating AI bias involves diverse training data, regular audits, and involving ethicists in the development process.
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