Employing comparative studies, where different datasets or models are evaluated against each other, can shed light on biases by highlighting discrepancies in outcomes. This approach can be particularly effective in contexts where historical biases are suspected. Its effectiveness, however, is contingent on the availability of comparable datasets and the appropriate selection of comparison metrics, which might not always be feasible or clear.
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