Algorithmic bias refers to systematic and unfair discrimination that can occur in the outputs of algorithms, particularly in machine learning models and artificial intelligence systems. This bias can arise from various factors, including: 1. **Data Bias**: If the training data used to develop an algorithm is unrepresentative or contains historical prejudices, the algorithm may learn and perpetuate these biases.
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