Why is representative data important in AI?
Representative data is crucial because it ensures that AI models can generalize well to real-world scenarios.
What happens if the data isn't representative?
If the data isn't representative, the AI may produce biased or inaccurate results, leading to poor decision-making.
Can you give an example of biased AI results?
Sure! An example is facial recognition systems that perform poorly on certain demographics due to lack of diverse training data.
How can we ensure our data is representative?
To ensure data is representative, you should include diverse samples that reflect the real-world population and scenarios.
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