Digital Ethics and Privacy in Business
A/B testing is a method used to compare two versions of a webpage, app, or other digital content to determine which one performs better based on specific metrics. By randomly showing different variations to users and analyzing their interactions, businesses can make data-driven decisions to optimize user experience and improve outcomes. This technique is crucial in understanding user preferences and behaviors, particularly when addressing issues related to bias and fairness in AI systems.
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