Can you explain how bias affects AI decisions?
Bias in AI can lead to unfair outcomes, as algorithms may reflect the prejudices present in their training data.
What are some examples of bias in AI?
Examples include facial recognition systems misidentifying people of color or hiring algorithms favoring certain demographics.
How can we reduce bias in AI systems?
We can reduce bias by using diverse training datasets, implementing fairness checks, and continuously monitoring AI outputs.
Is it possible to completely eliminate bias from AI?
While it's challenging to completely eliminate bias, we can strive to minimize it through careful design and oversight.
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