Further artificial intelligence article improvement
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@@ -240,12 +240,11 @@
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<ol>
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<li>
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Remove the sensitive attribute (e.g. gender, ethnicity, religion, etc.)
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from the dataset. This approach may not work in real-world scenarios
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because removing the sensitive attribute might not be enough to completely
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mask it, as the sensitive attribute is often correlated with other
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attributes of the dataset. Removing may therefore not be sufficient, and
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removing all attributes correlated with it may lead to a lot of information
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loss;
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from the dataset. This approach may not work in real-world scenarios.
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When the sensitive attribute is correlated with other attributes of the
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dataset, removing the sensitive attribute is not be enough to completely
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mask it. Removing it may therefore not be sufficient, and removing all
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attributes correlated with it may lead to a lot of information loss;
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</li>
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<li>
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Ensure that the dataset has an equal representation of people if grouped
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