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Master the Long Tail to Tame Machine Learning
Machine learning often oversimplifies the complexity of real-world applications by focusing on average cases, neglecting the unique needs of diverse users. The challenge lies in addressing the long tail of user behavior, which represents the vast array of unique interactions with AI systems. Although advancements in research may generate expectations for immediate, universal applicability, real-world implementation requires a deep understanding of individual user differences and behaviors. Successful design in AI must account for this spectrum of uniqueness to foster effective interactions and outcomes.