What are some examples of bias in AI systems?
Bias in AI systems can manifest in various ways, such as racial bias in facial recognition software or gender bias in hiring algorithms.
Can you give me a specific example of racial bias?
Sure! One notable example is the facial recognition technology that misidentifies people of color at a higher rate than white individuals.
What are the consequences of these biases?
The consequences can be severe, leading to discrimination in job hiring, law enforcement, and even healthcare, affecting lives negatively.
How can we mitigate these biases?
Mitigating biases involves diverse training data, regular audits of AI systems, and implementing fairness guidelines during development.
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