Can you explain how AI bias impacts transparency in decision-making?
AI bias can obscure transparency by influencing the outcomes of algorithms, making it hard to understand how decisions are made.
What are some examples of AI bias affecting transparency?
Examples include biased hiring algorithms that favor certain demographics, leading to opaque hiring processes.
How can we mitigate AI bias to improve transparency?
Mitigating AI bias involves diverse data collection, regular audits, and implementing fairness metrics in algorithms.
Is there a way to measure transparency in AI systems?
Yes, transparency can be measured by evaluating how easily stakeholders can access and understand the decision-making processes of AI.
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