Digital Transformation Strategies
Post-hoc analysis refers to the practice of analyzing data after an experiment has been conducted, typically to uncover patterns or insights that were not specified prior to the study. This type of analysis is crucial for understanding algorithmic bias and fairness, as it can reveal unintended consequences of decision-making processes and identify whether certain groups are disproportionately affected by algorithms.
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