Can you explain how bias impacts the transparency of AI systems?
Bias in AI can obscure how decisions are made, making it difficult for users to understand the reasoning behind outcomes.
What are some examples of bias affecting AI transparency?
Examples include biased training data leading to skewed results, which can mislead users about the AI's capabilities.
How can we mitigate bias to improve transparency?
Mitigating bias involves using diverse datasets, regular audits, and involving diverse teams in the AI development process.
Is there a way to measure bias in AI systems?
Yes, there are metrics like fairness indicators and disparity measures that help assess bias in AI models.
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