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AI: algorithmic bias impact
Algorithmic bias occurs when an algorithm’s output is systematically unfair, prejudiced, or skewed due to problematic assumptions in the machine learning process, often stemming from the data it was trained on or the design choices made by its developers. Bias can be both intentional and unintentional. Examples and the various sources of bias: Analyze the…