Ethical Implications and Bias Mitigation

Machine learning (ML) has revolutionized various sectors by providing predictive power and automation, transforming how organizations make decisions and deliver services. However, the use of machine learning systems comes with significant ethical implications, particularly regarding data governance and bias. Ensuring ethical practices in ML data governance is critical to building systems that are fair, transparent, and accountable. This chapter delves into the ethical implications of ML data governance and strategies for bias mitigation, providing a comprehensive discussion aimed at practitioners, researchers, and policymakers involved in ML and AI development.