Predictive Analytics in Business
Algorithmic fairness refers to the principle that algorithms should make decisions without bias, ensuring equitable treatment across different demographic groups. This concept is crucial as it highlights the responsibility of data scientists and businesses to create models that do not reinforce existing inequalities or discriminate against certain populations. The importance of algorithmic fairness extends to ethical considerations in predictive modeling and influences the integrity of data-driven decision-making processes.
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