Cybersecurity for Business
Biased training data refers to datasets used to train machine learning models that contain systematic errors or imbalances, leading to skewed outputs and unfair predictions. When machine learning algorithms learn from biased data, they can perpetuate existing stereotypes or inequalities, affecting decision-making in various applications, including security systems. Understanding and addressing biased training data is crucial for developing reliable artificial intelligence systems that are fair and effective in security contexts.
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