What are the main challenges faced by AI models today?
Some of the main challenges include data quality, bias, interpretability, and scalability.
Can you explain how bias affects AI models?
Bias in AI models can lead to unfair outcomes, as models may learn from skewed data that doesn't represent all groups.
What can be done to improve data quality?
Improving data quality involves cleaning data, ensuring diversity in datasets, and continuously monitoring for errors.
How does interpretability impact the use of AI in critical areas?
Interpretability is crucial in areas like healthcare and finance, as stakeholders need to understand AI decisions to trust them.
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