Cognitive Computing in Business
Bias mitigation refers to the strategies and techniques used to reduce or eliminate biases in machine learning algorithms and cognitive systems. It is essential for ensuring fairness, accuracy, and ethical outcomes in decision-making processes. Addressing bias is crucial in various applications, such as enhancing transparency in open-source frameworks, promoting accountability in cognitive systems, and improving fraud detection and risk management practices.
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