AI and society: Mitigating biases in machine learning

“AI and Society: Mitigating Biases in Machine Learning” addresses the pervasive issue of biases in AI systems and their societal impacts. The paper examines various sources of bias within machine learning algorithms and proposes strategies to detect, mitigate, and prevent these biases. Through case studies and empirical research, the study underscores the importance of fairness, transparency, and accountability in AI development, offering practical recommendations for creating more equitable and unbiased AI systems that align with ethical standards and societal values.