Intro to Comparative Literature
Algorithmic bias refers to the systematic and unfair discrimination that can arise in algorithms due to flawed data, design, or decision-making processes. This bias can lead to skewed results and reinforce stereotypes or inequities in various applications, such as social media, hiring practices, and law enforcement. Understanding algorithmic bias is crucial when utilizing digital tools and methodologies for comparative analysis, as it can affect the validity and fairness of conclusions drawn from data-driven research.
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