What are some real-world examples of bias in AI?
There are several notable cases of bias in AI. 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 systems have been found to favor male candidates over female candidates, reflecting existing biases in the data.
What impact does this bias have on society?
Bias in AI can lead to unfair treatment of individuals, perpetuate stereotypes, and reinforce systemic inequalities in various sectors.
How can we mitigate these biases?
Mitigating bias involves using diverse training data, implementing fairness audits, and continuously monitoring AI systems for biased outcomes.
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