Can you explain how bias influences AI decision-making?
Bias in AI can lead to unfair outcomes by reflecting societal prejudices present in the training data.
What are some examples of bias in AI systems?
Examples include facial recognition systems misidentifying people of color or hiring algorithms favoring certain demographics.
How can we mitigate bias in AI?
Mitigating bias involves using diverse training data, regular audits, and implementing fairness algorithms.
Are there any regulations on AI bias?
Yes, some regions are developing regulations to ensure AI systems are fair and transparent, but it's still evolving.
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