What are some examples of AI bias?
AI bias can manifest in various ways, such as in facial recognition systems misidentifying people of color or in hiring algorithms favoring male candidates over female candidates.
Can you explain why these biases occur?
These biases often occur due to the data used to train AI models, which may reflect historical prejudices or imbalances.
How can we mitigate AI bias?
Mitigating AI bias involves using diverse training datasets, implementing fairness checks, and continuously monitoring AI systems for biased outcomes.
Are there any real-world consequences of AI bias?
Yes, AI bias can lead to unfair treatment in areas like hiring, law enforcement, and lending, affecting people's lives significantly.
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