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Navigating Bias in Decision-Making
This chapter explores the significance of independent decision-making and the impact of biases in evaluations, particularly in fields like fingerprint analysis and college admissions. The speakers emphasize the dangers of preconceived notions, highlighting how collective agreement can obscure objectivity in judgments. Additionally, they compare human decision-making processes to algorithms, discussing the challenges and moral implications of biases inherent in both.