Bias Detection

Bias detection refers to the process of identifying and mitigating biases in data and algorithms used in machine learning and artificial intelligence. Biases can arise from various sources such as data collection methods, algorithm design, and human decision-making. Bias detection involves analyzing data and algorithms to identify potential biases and taking corrective measures to ensure fairness and accuracy in decision-making. This process is crucial in ensuring that machine learning and artificial intelligence systems do not perpetuate or amplify existing biases in society.
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