Can you give me some examples of AI bias?
Sure! One example is facial recognition technology, which has been found to misidentify people of color more often than white individuals.
Why does this bias occur in AI systems?
Bias in AI often arises from the data used to train these systems. If the training data is not diverse, the AI may learn and perpetuate those biases.
Are there any 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.
How can we mitigate AI bias?
Mitigating AI bias involves using diverse datasets, regular audits of AI systems, and implementing fairness guidelines during development.
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