What are some common challenges faced by AI systems?
Some common challenges include data quality, bias in algorithms, and the need for transparency.
Can you explain how bias affects AI decision-making?
Bias can lead to unfair outcomes, as AI systems may reinforce existing stereotypes or inequalities.
What steps can be taken to mitigate bias in AI?
To mitigate bias, we can use diverse training data, implement fairness checks, and involve diverse teams in development.
How does data quality impact AI performance?
Data quality is crucial; poor quality data can lead to inaccurate predictions and unreliable AI systems.
What role does transparency play in AI?
Transparency helps build trust and allows users to understand how AI systems make decisions.
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