Selection bias occurs when the data used to train AI systems is not representative of the true population or phenomenon of interest. This can happen due to the way data is collected, such as focusing on easily accessible data sources that do not cover all necessary perspectives. As a result, the AI develops a skewed understanding, leading to biased decisions.
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