How Biases Shape Automated Decision-Making and Their Broader Implications
Building upon the foundational understanding of how automated systems make decisions today, it is crucial to recognize that biases—whether implicit or explicit—are embedded within these technologies in subtle yet profound ways. As we explore the layers beneath automated decision-making, we uncover how biases are not merely incidental flaws but systemic factors that influence outcomes, shape …
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