What are the main challenges in AI development?
Some key challenges include data quality, algorithm bias, and ethical considerations.
Can you explain how data quality affects AI?
Data quality impacts AI performance; poor data can lead to inaccurate models and unreliable predictions.
What about algorithm bias? How does that happen?
Algorithm bias occurs when the training data reflects societal biases, leading to unfair outcomes.
What ethical considerations should developers keep in mind?
Developers should consider privacy, transparency, and the potential impact of AI on society.
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