What is bias in AI?
Bias in AI refers to systematic errors that lead to unfair outcomes, often due to biased training data.
How does bias affect AI decision-making?
Bias can skew AI decisions, leading to discrimination or inaccuracies in areas like hiring, lending, and law enforcement.
What are some ways to reduce bias in AI?
To reduce bias, we can use diverse training datasets, implement fairness algorithms, and regularly audit AI systems.
Can AI ever be completely unbiased?
While we can strive for fairness, complete elimination of bias is challenging due to inherent human biases in data.
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