Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

A. Nandan PrasadIntroduction to Data Governance for Machine Learning Systemshttps://doi.org/10.1007/979-8-8688-1023-7_5

5. Ethical Implications and Bias Mitigation

Aditya Nandan Prasad¹  

(1)

Bangalore, Karnataka, India

 

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 ...