Bias in algorithms occurs when a system produces systematically prejudiced results due to flawed data or assumptions. Managers must understand this concept to oversee equitable AI and machine learning implementations, avoiding discrimination in hiring, customer service, or product recommendations.

Bias in algorithms occurs when a system produces systematically prejudiced results due to flawed data or assumptions. Managers must understand this concept to oversee equitable AI and machine learning implementations, avoiding discrimination in hiring, customer service, or product recommendations.

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