AI bias represents a critical blindspot in modern technology, where machine learning models trained on skewed data amplify racial and gender biases, perpetuating inequality in hiring, lending, and policing. These algorithms often inherit historical prejudices from imbalanced datasets and undiverse development teams, leading to discriminatory outcomes—like resume screening that disadvantages women or minorities, credit decisions […]