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A
Machine learning bias stems from skewed data, algorithmic biases, and improper model training
B
Addressing bias in machine learning involves preprocessing data, ensuring transparency, and evaluating models
C
Biased machine learning models lead to inaccurate predictions and unfair outcomes in various applications
D
Equitable decision-making requires rigorous data evaluation and algorithmic transparency
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