Practical Machine Learning Governance: Ensuring Trust, Safety, and Compliance
Practical guide to governing machine learning systems for trust and safety As machine learning systems move from experiment to everyday use, governance becomes the difference between useful automation and costly failures. Organizations that treat governance as an afterthought risk biased outcomes, regulatory trouble, and loss of customer trust. This guide outlines practical steps to make […]