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_4

4. Data Privacy and Security Considerations

Aditya Nandan Prasad¹  

(1)

Bangalore, Karnataka, India

 

Vast amounts of information are collected, analyzed, and used to train algorithms that can identify patterns, make predictions, and automate tasks. However, this data often contains sensitive information about individuals, organizations, or financial transactions. Balancing the need for data to fuel machine learning innovation with the imperative to protect privacy and security is a critical challenge in our data-driven world. This chapter delves ...